[{"id":12474,"title":"Tokio Marine: Optimizing Insurance Claims with AI","link":"https:\/\/www.h2o.ai\/customer-stories\/tokio-marine-optimizing-insurance-claims-with-ai\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2020\/01\/Tokio_Marine.svg","excerpt":"","short_content":"We have come to a point where it is not humanly possible to do things","customer_name":"Tokio Marine Life Insurance","author":{"quote":"Generally, at best, we could do things once a month or once a quarter. With H2O, things are more real time and a lot more faster. Rather than people spending resources, managing the databases and running the queries, they can spend time understanding the results and we can interpret it and translate it into proper management actions. ","name":"Kang Yuan Wong","designation":"Head of Analytics & Strategy"},"challenge":"We have come to a point where it is not humanly possible to do things on a manual basis because it is very labor-intensive. We needed a platform to learn by itself and tell us on a real-time basis, what is happening in our business so we can early actions to address them. ","industry":[{"id":6,"name":"Insurance","slug":"insurance"}],"use_case":[{"id":89,"name":"Claims Management","slug":"claims-management"},{"id":238,"name":"Predictive Analysis","slug":"predictive-analysis"}],"video_url":"https:\/\/www.youtube.com\/watch?v=1jmC_B3plQk&feature=youtu.be","case_study_url":false,"poster_image":false,"date":" Jan 4, 2020","feature":false},{"id":12261,"title":"PropertyGuru: AutoML at Scale","link":"https:\/\/www.h2o.ai\/customer-stories\/propertyguru\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/12\/b2wt5-u5kih.svg","excerpt":"","short_content":"We started to realize that some of the problems that we're trying to solve were","customer_name":"PropertyGuru","author":{"quote":"Working with H2O team over the last year specifically has been quite great because you have a great customer support team who have always been reaching out to us for problems that we are facing - either hosting Driverless AI or doing any experimentations. We have had really good experience with the customer support team with not only collaborating on certain use cases, but also in getting some insights on what are the next products that are coming in and when we should be upgrading our systems.","name":"Gautam Borgohain","designation":"Data Scientist"},"challenge":"We started to realize that some of the problems that we're trying to solve were becoming too big and cumbersome for our rule based engine. We needed machine learning models to be able to handle this at scale because it's much more costly if you have humans moderating every single image that has been uploaded. ","industry":[{"id":8,"name":"Marketing","slug":"marketing"}],"use_case":[{"id":15,"name":"Advanced Analytics","slug":"advanced-analytics"},{"id":240,"name":"Credit Scoring","slug":"credit-scoring"},{"id":86,"name":"Customer Churn","slug":"customer-churn"},{"id":87,"name":"Personalization","slug":"personalization"}],"video_url":"https:\/\/www.youtube.com\/watch?v=MF6yVYUu_XM&feature=youtu.be","case_study_url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2020\/01\/Property-Guru-Customer-Case-Study_rnd2.pdf","poster_image":false,"date":" Dec 11, 2019","feature":false},{"id":12236,"title":"AIMIA: Increasing Brand Loyalty with AI","link":"https:\/\/www.h2o.ai\/customer-stories\/aimia-machine-learning-for-actionable-insights\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/12\/scott-pete-2-350x200.png","featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/12\/imageedit_3_8287827793-1.svg","excerpt":"","short_content":"In the loyalty industry, marketing executives find it hard to get the necessary insights from","customer_name":"AIMIA","author":{"quote":"With H2O Driverless AI, we have seen improvements in the models and the results we were able to deliver for our clients. In one case we saw a 700% increase in cost savings, for a campaign costs with an 11% improvement in overall ROI. From an internal perspective, we've seen a reduction in our model development times significantly. Driverless AI allows us to tune models faster and gain insights out of the entire process. ","name":"Scott Pete","designation":"Director of Analytics and Insights "},"challenge":"In the loyalty industry, marketing executives find it hard to get the necessary insights from the data to drive strategic priorities. \r\n\r\n","industry":[{"id":8,"name":"Marketing","slug":"marketing"}],"use_case":[{"id":92,"name":"Advertising Optimization","slug":"advertising-optimization"},{"id":86,"name":"Customer Churn","slug":"customer-churn"},{"id":11,"name":"Fraud Detection","slug":"fraud-detection"}],"video_url":"https:\/\/youtu.be\/A5EbRgZ5UsM","case_study_url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2020\/01\/AIMIA-Customer-Case-Study_rnd4.pdf","poster_image":false,"date":" Dec 11, 2019","feature":false},{"id":9009,"title":"Reproductive Science Center of the Bay Area: Machine Learning for Yield Prediction","link":"https:\/\/www.h2o.ai\/customer-stories\/reproductive-science-center-of-the-bay-area-machine-learning-for-yield-prediction\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/logo-rsc-bay-area.svg","excerpt":"","short_content":"Evaluate all the available factors for reproductive science and use machine learning to make sense","customer_name":"Reproductive Science Center of the Bay Area","author":{"quote":"Many clinical practices don't have data scientists in their staff, they have to use tools like Driverless AI to be able to extract valuable insights from their clinical data. What Driverless AI is doing for us is to just make it easier because it will do all the model creation and sampling. And make it more robust and fast. In old times, 2 years ago, 3 years ago, it all goes by published papers but now because we have data in our hands, we can make the same decisions based on our data. With the data, we can more accurate faster decisions, so it's a better way of doing science in clinical healthcare.","name":"Oleksii Barash","designation":"Research Director"},"challenge":"Evaluate all the available factors for reproductive science and use machine learning to make sense of the collected data.","industry":[{"id":7,"name":"Healthcare","slug":"healthcare"}],"use_case":[{"id":95,"name":"Precision Medicine","slug":"precision-medicine"},{"id":227,"name":"Yield Prediction","slug":"yield-prediction"}],"video_url":"https:\/\/www.youtube.com\/watch?v=WOiR8QT3G8s","case_study_url":false,"poster_image":false,"date":" Jun 19, 2019","feature":false},{"id":8177,"title":"Deserve: Minimizing Risk","link":"https:\/\/www.h2o.ai\/customer-stories\/deserve-minimizing-risk\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/DeserveLogoSqLg2-100x100.png","excerpt":"","short_content":"We use H2O Driverless AI from our fraud modeling to different types of models that","customer_name":"Deserve","author":{"quote":"H2O Driverless AI has been a great tool to help us build at a rapid pace. There are some models that take several months to build and iterate over, and I think with Driverless AI, you can get that done in weeks.","name":"Aslam Chagani","designation":"Director of Data Science"},"challenge":"We use H2O Driverless AI from our fraud modeling to different types of models that we build to determine risk, and for underwriting  and fraud purposes.","industry":[{"id":5,"name":"Financial Services","slug":"financial-services"}],"use_case":[{"id":88,"name":"Risk Management","slug":"risk-management"}],"video_url":"https:\/\/www.youtube.com\/watch?v=ea9wekA6aGc&feature=youtu.be","case_study_url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2020\/01\/Deserve-Customer-Case-Study_rnd1-1.pdf","poster_image":false,"date":" Apr 23, 2019","feature":false},{"id":8176,"title":"Hortifrut: Innovative Distribution Processes","link":"https:\/\/www.h2o.ai\/customer-stories\/hortifrut-innovative-distribution-processes\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/Wei-Shao-Hortifrut-350x200.png","featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/hortifrut-100x100.png","excerpt":"","short_content":"One of Hortifrut's interesting use cases is to predict the quality of blueberries and what","customer_name":"Hortifrut","author":{"quote":"I am very excited to use the H2O Driverless AI because prior to it, we used to spend weeks hyperparameter tuning etc., but with Driverless AI, one experiment takes just a few hours.","name":"Wei Shao","designation":"Data Scientist"},"challenge":"One of Hortifrut's interesting use cases is to predict the quality of blueberries and what it will be at the destination - using the GAL information from the origin and the time in transit.","industry":[{"id":98,"name":"Manufacturing","slug":"manufacturing"}],"use_case":[{"id":245,"name":"Produce Quality","slug":"produce-quality"}],"video_url":"https:\/\/www.youtube.com\/watch?v=iaE-KHNosiI&feature=youtu.be","case_study_url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2020\/01\/Hortifrut-Customer-Case-Study_rnd1.pdf","poster_image":{"ID":9610,"id":9610,"title":"Wei Shao Hortifrut","filename":"Wei-Shao-Hortifrut.png","filesize":1808934,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/Wei-Shao-Hortifrut.png","link":"https:\/\/www.h2o.ai\/customer-stories\/hortifrut-innovative-distribution-processes\/wei-shao-hortifrut\/","alt":"","author":"56","description":"","caption":"","name":"wei-shao-hortifrut","status":"inherit","uploaded_to":8176,"date":"2019-07-30 21:25:55","modified":"2019-07-30 21:25:55","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":1708,"height":1102,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/Wei-Shao-Hortifrut-150x150.png","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/Wei-Shao-Hortifrut-300x194.png","medium-width":300,"medium-height":194,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/Wei-Shao-Hortifrut-768x496.png","medium_large-width":768,"medium_large-height":496,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/Wei-Shao-Hortifrut-1024x661.png","large-width":1024,"large-height":661,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/Wei-Shao-Hortifrut.png","1536x1536-width":1536,"1536x1536-height":991,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/Wei-Shao-Hortifrut.png","2048x2048-width":1708,"2048x2048-height":1102,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/Wei-Shao-Hortifrut-1100x400.png","1100X400-width":1100,"1100X400-height":400,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/Wei-Shao-Hortifrut-729x350.png","729X350-width":729,"729X350-height":350,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/Wei-Shao-Hortifrut-594x363.png","594X363-width":594,"594X363-height":363,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/Wei-Shao-Hortifrut-540x330.png","540X330-width":540,"540X330-height":330,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/Wei-Shao-Hortifrut-540x262.png","540X262-width":540,"540X262-height":262,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/Wei-Shao-Hortifrut-350x226.png","350X450-width":350,"350X450-height":226,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/Wei-Shao-Hortifrut-350x200.png","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/Wei-Shao-Hortifrut-255x264.png","255X264-width":255,"255X264-height":264,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/Wei-Shao-Hortifrut-256x256.png","256X256-width":256,"256X256-height":256,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/Wei-Shao-Hortifrut-255x255.png","255X255-width":255,"255X255-height":255,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/Wei-Shao-Hortifrut-100x100.png","120X36-width":100,"120X36-height":100}},"date":" Apr 23, 2019","feature":false},{"id":8174,"title":"ArmadaHealth: Understanding Sentiment to Impact Lives","link":"https:\/\/www.h2o.ai\/customer-stories\/armadahealth-understanding-sentiment-to-impact-lives\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/AH-Logo-Navy-300px-1.svg","excerpt":"","short_content":"How ArmadaHealth leverages machine learning to drive an impact in the healthcare space using H2O","customer_name":"ArmadaHealth","author":{"quote":"We use Driverless AI to understand a lot of key physician characteristics from the data. If we had to build models traditionally, we will have to bring in a team of PhDs and work on it for months together. Now we are able to achieve the same level of result or even better with Driverless AI.","name":"Bharath Sudharsan","designation":"Director of Data Science and Innovation"},"challenge":"How ArmadaHealth leverages machine learning to drive an impact in the healthcare space using H2O Driverless AI.","industry":[{"id":7,"name":"Healthcare","slug":"healthcare"}],"use_case":[{"id":244,"name":"Sentiment Analysis","slug":"sentiment-analysis"}],"video_url":"https:\/\/www.youtube.com\/watch?v=D0e-1gedK6g&feature=youtu.be","case_study_url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2020\/03\/Armada-Health-Customer-Case-Study_rnd2.pdf","poster_image":{"ID":8175,"id":8175,"title":"iStock-953685706 (1)","filename":"iStock-953685706-1.jpg","filesize":1920245,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/iStock-953685706-1.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/armadahealth-understanding-sentiment-to-impact-lives\/istock-953685706-1\/","alt":"","author":"12","description":"","caption":"","name":"istock-953685706-1","status":"inherit","uploaded_to":8174,"date":"2019-04-23 05:55:00","modified":"2019-04-23 05:55:00","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":4000,"height":2666,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/iStock-953685706-1-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/iStock-953685706-1-300x200.jpg","medium-width":300,"medium-height":200,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/iStock-953685706-1-768x512.jpg","medium_large-width":768,"medium_large-height":512,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/iStock-953685706-1-1024x682.jpg","large-width":1024,"large-height":682,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/iStock-953685706-1.jpg","1536x1536-width":1536,"1536x1536-height":1024,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/iStock-953685706-1.jpg","2048x2048-width":2048,"2048x2048-height":1365,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/iStock-953685706-1-1100x400.jpg","1100X400-width":1100,"1100X400-height":400,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/iStock-953685706-1-729x350.jpg","729X350-width":729,"729X350-height":350,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/iStock-953685706-1-594x363.jpg","594X363-width":594,"594X363-height":363,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/iStock-953685706-1-540x330.jpg","540X330-width":540,"540X330-height":330,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/iStock-953685706-1-540x262.jpg","540X262-width":540,"540X262-height":262,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/iStock-953685706-1-350x233.jpg","350X450-width":350,"350X450-height":233,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/iStock-953685706-1-350x200.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/iStock-953685706-1-255x264.jpg","255X264-width":255,"255X264-height":264,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/iStock-953685706-1-256x256.jpg","256X256-width":256,"256X256-height":256,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/iStock-953685706-1-255x255.jpg","255X255-width":255,"255X255-height":255,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/iStock-953685706-1-100x100.jpg","120X36-width":100,"120X36-height":100}},"date":" Apr 23, 2019","feature":false},{"id":7842,"title":"Underwrite.ai: Adverse Action Reporting for Lenders","link":"https:\/\/www.h2o.ai\/customer-stories\/adverse-action-reporting-for-lenders\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/attachment_74932221-100x100.jpeg","excerpt":"","short_content":"Adverse action reporting for credit lenders, quickly and automatically. ","customer_name":"Underwrite.ai","author":{"quote":"When we started the business, we had a metric that we needed to produce a decision for a client by our API in 40 milliseconds or less. And the target was 20 milliseconds. We've gone from that 20-millisecond threshold to a one half of 1-millisecond threshold. So we're now measuring performance in nanoseconds. This allows lenders to replace a human process with a fully automated process. And not only can we reach a decision, we can also explain the decision fully compliant with the regulators and it takes less than half a millisecond. There are so many challenges that this technology can work to solve, and the more people who get into it and use it, the better the world gets. And that's ultimately what we should all be trying to do.","name":"Marc Stein","designation":"CEO"},"challenge":"Adverse action reporting for credit lenders, quickly and automatically. ","industry":[{"id":5,"name":"Financial Services","slug":"financial-services"}],"use_case":[{"id":240,"name":"Credit Scoring","slug":"credit-scoring"}],"video_url":"https:\/\/www.youtube.com\/watch?v=1X6L-idv8D4&feature=youtu.be","case_study_url":false,"poster_image":{"ID":7843,"id":7843,"title":"marc stein","filename":"marc-stein.png","filesize":910741,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/marc-stein.png","link":"https:\/\/www.h2o.ai\/customer-stories\/adverse-action-reporting-for-lenders\/marc-stein\/","alt":"","author":"12","description":"","caption":"","name":"marc-stein","status":"inherit","uploaded_to":7842,"date":"2019-04-03 23:40:40","modified":"2019-04-03 23:40:40","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":1280,"height":676,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/marc-stein-150x150.png","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/marc-stein-300x158.png","medium-width":300,"medium-height":158,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/marc-stein-768x406.png","medium_large-width":768,"medium_large-height":406,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/marc-stein-1024x541.png","large-width":1024,"large-height":541,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/marc-stein.png","1536x1536-width":1280,"1536x1536-height":676,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/marc-stein.png","2048x2048-width":1280,"2048x2048-height":676,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/marc-stein-1100x400.png","1100X400-width":1100,"1100X400-height":400,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/marc-stein-729x350.png","729X350-width":729,"729X350-height":350,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/marc-stein-594x363.png","594X363-width":594,"594X363-height":363,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/marc-stein-540x330.png","540X330-width":540,"540X330-height":330,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/marc-stein-540x262.png","540X262-width":540,"540X262-height":262,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/marc-stein-350x185.png","350X450-width":350,"350X450-height":185,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/marc-stein-350x200.png","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/marc-stein-255x264.png","255X264-width":255,"255X264-height":264,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/marc-stein-256x256.png","256X256-width":256,"256X256-height":256,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/marc-stein-255x255.png","255X255-width":255,"255X255-height":255,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/marc-stein-100x100.png","120X36-width":100,"120X36-height":100}},"date":" Apr 3, 2019","feature":false},{"id":7838,"title":"Change Healthcare: Predicting Likelihood of Medicaid Eligibility","link":"https:\/\/www.h2o.ai\/customer-stories\/predicting-likelihood-of-medicaid-eligibility\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare_Logo.svg","excerpt":"","short_content":"Verification of insurance claim audits with a machine learning setting to determine whether a certain","customer_name":"Change Healthcare","author":{"quote":"In terms of time savings, it\u2019s a standard practice for our team to use H2O for things like model evaluation, evaluating variable importances, and interpretability of the model. H2O just makes so much of that legwork so easy in our workflow. We have gotten so used to using H2O that it\u2019s hard to imagine doing my job without it. We have gotten used to seeing things like data visualization, visualization of performance metrics in a model on the fly in H2O and Driverless AI, it\u2019s hard to imagine being a data scientist and not use it. ","name":"Tate Campbell","designation":"Data Scientist"},"challenge":"Verification of insurance claim audits with a machine learning setting to determine whether a certain diagnosis code was coded correctly or whether a hospital charge was billed correctly.","industry":[{"id":7,"name":"Healthcare","slug":"healthcare"}],"use_case":[{"id":89,"name":"Claims Management","slug":"claims-management"}],"video_url":"https:\/\/www.youtube.com\/watch?time_continue=1&v=7mOhdcP-Og8","case_study_url":false,"poster_image":{"ID":7841,"id":7841,"title":"change healthcare","filename":"change-healthcare.png","filesize":765992,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/change-healthcare.png","link":"https:\/\/www.h2o.ai\/customer-stories\/predicting-likelihood-of-medicaid-eligibility\/change-healthcare-2\/","alt":"","author":"12","description":"","caption":"","name":"change-healthcare-2","status":"inherit","uploaded_to":7838,"date":"2019-04-03 23:07:43","modified":"2019-04-03 23:07:43","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":1279,"height":680,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/change-healthcare-150x150.png","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/change-healthcare-300x159.png","medium-width":300,"medium-height":159,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/change-healthcare-768x408.png","medium_large-width":768,"medium_large-height":408,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/change-healthcare-1024x544.png","large-width":1024,"large-height":544,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/change-healthcare.png","1536x1536-width":1279,"1536x1536-height":680,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/change-healthcare.png","2048x2048-width":1279,"2048x2048-height":680,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/change-healthcare-1100x400.png","1100X400-width":1100,"1100X400-height":400,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/change-healthcare-729x350.png","729X350-width":729,"729X350-height":350,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/change-healthcare-594x363.png","594X363-width":594,"594X363-height":363,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/change-healthcare-540x330.png","540X330-width":540,"540X330-height":330,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/change-healthcare-540x262.png","540X262-width":540,"540X262-height":262,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/change-healthcare-350x186.png","350X450-width":350,"350X450-height":186,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/change-healthcare-350x200.png","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/change-healthcare-255x264.png","255X264-width":255,"255X264-height":264,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/change-healthcare-256x256.png","256X256-width":256,"256X256-height":256,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/change-healthcare-255x255.png","255X255-width":255,"255X255-height":255,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/change-healthcare-100x100.png","120X36-width":100,"120X36-height":100}},"date":" Apr 3, 2019","feature":false},{"id":7824,"title":"G5: New Efficiencies, Better Insights, and Increased Revenue","link":"https:\/\/www.h2o.ai\/customer-stories\/new-efficiencies-better-insights-and-increased-revenue\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048-350x200.jpg","featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/G5_Logo.svg","excerpt":"Real estate marketer improves sales lead quality using H2O and Driverless AI together.","short_content":"The real estate marketing company found that only 14% of its leads were productive. While","customer_name":"G5","author":{"quote":"H2O Driverless AI allows us to not only take the forms that our customers fill out, but also the phone calls. Phone calls are really important in marketing. Just to give a number here, about 90% of the leads we generate are call based leads. With intelligent core scoring powered by H2O Driverless AI and using H2O Word2Vec models, we came up with a powerful solution that made it possible to achieve our goal of accurately identifying high quality leads from phone calls for our customers faster than ever before.","name":"Martin Stein","designation":"Chief Product Officer"},"challenge":"The real estate marketing company found that only 14% of its leads were productive. While machine learning offered promise in addressing this inefficiency, the realities of implementation could prove to be time consuming, expensive, and a barrier to innovation. ","industry":[{"id":8,"name":"Marketing","slug":"marketing"}],"use_case":[{"id":93,"name":"Lead Scoring","slug":"lead-scoring"}],"video_url":"https:\/\/youtu.be\/EQPzBA0t7g4","case_study_url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2020\/01\/G5-Customer-Case-Study_rnd1.pdf","poster_image":{"ID":7762,"id":7762,"title":"kg 1","filename":"kg-1.png","filesize":869903,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/kg-1.png","link":"https:\/\/www.h2o.ai\/blog\/building-ai-ml-models-on-lending-club-data-with-h2o-ai%e2%80%8a-%e2%80%8apart-1\/kg-1\/","alt":"","author":"12","description":"","caption":"","name":"kg-1","status":"inherit","uploaded_to":7761,"date":"2019-03-28 08:04:14","modified":"2019-03-28 08:04:14","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":974,"height":650,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/kg-1-150x150.png","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/kg-1-300x200.png","medium-width":300,"medium-height":200,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/kg-1-768x513.png","medium_large-width":768,"medium_large-height":513,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/kg-1.png","large-width":974,"large-height":650,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/kg-1.png","1536x1536-width":974,"1536x1536-height":650,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/kg-1.png","2048x2048-width":974,"2048x2048-height":650,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/kg-1-974x400.png","1100X400-width":974,"1100X400-height":400,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/kg-1-729x350.png","729X350-width":729,"729X350-height":350,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/kg-1-594x363.png","594X363-width":594,"594X363-height":363,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/kg-1-540x330.png","540X330-width":540,"540X330-height":330,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/kg-1-540x262.png","540X262-width":540,"540X262-height":262,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/kg-1-350x234.png","350X450-width":350,"350X450-height":234,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/kg-1-350x200.png","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/kg-1-255x264.png","255X264-width":255,"255X264-height":264,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/kg-1-256x256.png","256X256-width":256,"256X256-height":256,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/kg-1-255x255.png","255X255-width":255,"255X255-height":255,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/kg-1-100x100.png","120X36-width":100,"120X36-height":100}},"date":" Apr 2, 2019","feature":false},{"id":7102,"title":"Wells Fargo: Interpretable Machine Learning","link":"https:\/\/www.h2o.ai\/customer-stories\/interpretable-machine-learning\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16508-1-350x200.jpg","featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/1024px-Wells_Fargo_Bank.svg-100x100.png","excerpt":"Transparency, accountability, and trustworthiness of data-driven decision support systems based on AI and machine learning, or more traditional statistical or rule-based approaches, are serious regulatory mandates in banking, insurance, healthcare, and other industries. From pertinent regulations to increasing customer trust, data scientists and business decision-makers need to understand the challenges and opportunities with explainable AI.","short_content":"Transparency, accountability, and trustworthiness of data-driven decision support systems based on AI and machine learning,","customer_name":"Wells Fargo","author":{"quote":"Managing machine learning model risk is of the utmost importance in heavily regulated industries such as finance; in particular, to manage potential risks due to bias\/fairness, conceptual soundness, implementation, and model change control","name":"Agus Sudjianto","designation":"EVP, Head of Corporate Model Risk"},"challenge":"Transparency, accountability, and trustworthiness of data-driven decision support systems based on AI and machine learning, or more traditional statistical or rule-based approaches, are serious regulatory mandates in banking, insurance, healthcare, and other industries.\r\n\r\nFrom pertinent regulations to increasing customer trust, data scientists and business decision-makers need to understand the challenges and opportunities with explainable AI.","industry":[{"id":5,"name":"Financial Services","slug":"financial-services"}],"use_case":[{"id":236,"name":"Explainable AI","slug":"explainable-ai"}],"video_url":"https:\/\/youtu.be\/yFTTT3xewOw","case_study_url":false,"poster_image":{"ID":7356,"id":7356,"title":"190205_JKM_H2Oai-16508","filename":"190205_JKM_H2Oai-16508-1.jpg","filesize":5449750,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16508-1.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/interpretable-machine-learning\/190205_jkm_h2oai-16508-2\/","alt":"","author":"12","description":"","caption":"","name":"190205_jkm_h2oai-16508-2","status":"inherit","uploaded_to":7102,"date":"2019-02-28 23:41:32","modified":"2019-02-28 23:41:32","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":3960,"height":2640,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16508-1-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16508-1-300x200.jpg","medium-width":300,"medium-height":200,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16508-1-768x512.jpg","medium_large-width":768,"medium_large-height":512,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16508-1-1024x683.jpg","large-width":1024,"large-height":683,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16508-1.jpg","1536x1536-width":1536,"1536x1536-height":1024,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16508-1.jpg","2048x2048-width":2048,"2048x2048-height":1365,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16508-1-1100x400.jpg","1100X400-width":1100,"1100X400-height":400,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16508-1-729x350.jpg","729X350-width":729,"729X350-height":350,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16508-1-594x363.jpg","594X363-width":594,"594X363-height":363,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16508-1-540x330.jpg","540X330-width":540,"540X330-height":330,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16508-1-540x262.jpg","540X262-width":540,"540X262-height":262,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16508-1-350x233.jpg","350X450-width":350,"350X450-height":233,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16508-1-350x200.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16508-1-255x264.jpg","255X264-width":255,"255X264-height":264,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16508-1-256x256.jpg","256X256-width":256,"256X256-height":256,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16508-1-255x255.jpg","255X255-width":255,"255X255-height":255,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16508-1-100x100.jpg","120X36-width":100,"120X36-height":100}},"date":" Mar 1, 2019","feature":false},{"id":2151,"title":"Stanley Black & Decker: Improving Manufacturing Process with Driverless AI","link":"https:\/\/www.h2o.ai\/customer-stories\/improving-manufacturing-process-with-driverless-ai\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-16977-350x200.jpg","featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Stanley_Black_Decker_Logo.svg","excerpt":"Stanley Black & Decker, the global diversified industrial with business units focused on tools and storage, security, healthcare, and industrial products, is using H2O Driverless AI to develop AI-enabled manufacturing processes which have the potential to drastically reduce the amount of time required for product development.","short_content":"Stanley Black & Decker, the global diversified industrial with business units focused on tools and","customer_name":"Stanley Black & Decker","author":{"quote":"The platform\u2019s feature engineering and scoring pipeline generation are better than anything we\u2019ve seen out there right now.","name":"Dr. Robert Coop","designation":"Artificial Intelligence and Machine Learning Manager"},"challenge":"Stanley Black & Decker, the global diversified industrial with business units focused on tools and storage, security, healthcare, and industrial products, is using H2O Driverless AI to develop AI-enabled manufacturing processes which have the potential to drastically reduce the amount of time required for product development. ","industry":[{"id":98,"name":"Manufacturing","slug":"manufacturing"}],"use_case":[{"id":94,"name":"Manufacturing Optimization","slug":"manufacturing-optimization"}],"video_url":"https:\/\/youtu.be\/TlmaF6zT43Q","case_study_url":"\/company\/news\/h2o-ai-empowers-stanley-black-decker-to-develop-innovative-manufacturing-processes\/","poster_image":{"ID":7375,"id":7375,"title":"190205_JKM_H2Oai-16977","filename":"190205_JKM_H2Oai-16977.jpg","filesize":4629896,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-16977.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/improving-manufacturing-process-with-driverless-ai\/190205_jkm_h2oai-16977-2\/","alt":"","author":"12","description":"","caption":"","name":"190205_jkm_h2oai-16977-2","status":"inherit","uploaded_to":2151,"date":"2019-03-01 00:26:17","modified":"2019-03-01 00:26:17","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":3960,"height":2640,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-16977-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-16977-300x200.jpg","medium-width":300,"medium-height":200,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-16977-768x512.jpg","medium_large-width":768,"medium_large-height":512,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-16977-1024x683.jpg","large-width":1024,"large-height":683,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-16977.jpg","1536x1536-width":1536,"1536x1536-height":1024,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-16977.jpg","2048x2048-width":2048,"2048x2048-height":1365,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-16977-1100x400.jpg","1100X400-width":1100,"1100X400-height":400,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-16977-729x350.jpg","729X350-width":729,"729X350-height":350,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-16977-594x363.jpg","594X363-width":594,"594X363-height":363,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-16977-540x330.jpg","540X330-width":540,"540X330-height":330,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-16977-540x262.jpg","540X262-width":540,"540X262-height":262,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-16977-350x233.jpg","350X450-width":350,"350X450-height":233,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-16977-350x200.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-16977-255x264.jpg","255X264-width":255,"255X264-height":264,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-16977-256x256.jpg","256X256-width":256,"256X256-height":256,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-16977-255x255.jpg","255X255-width":255,"255X255-height":255,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-16977-100x100.jpg","120X36-width":100,"120X36-height":100}},"date":" Mar 1, 2019","feature":false},{"id":7104,"title":"Wells Fargo: Building a World Class Data Science Team","link":"https:\/\/www.h2o.ai\/customer-stories\/building-a-world-class-data-science-team\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/1024px-Wells_Fargo_Bank.svg-100x100.png","excerpt":"","short_content":"Where does the data come from? How does it all fit together? Do you understand","customer_name":"Wells Fargo","author":{"quote":"In order to be able to create something awesome like a great data science team, we need to be able to take those chances organizationally with people so as to produce those great outcomes we have been looking for.","name":"Krish Swamy","designation":"Senior Vice President - Enterprise Analytics and Data Science, Wells Fargo"},"challenge":"Where does the data come from? How does it all fit together? Do you understand what the data means? How do you train a model? Do you have the infrastructure? How's it going to sit in production? Do my data sources in training match what's going to be there at the time of scoring? There's so many factors to be worried about.","industry":[{"id":5,"name":"Financial Services","slug":"financial-services"}],"use_case":[{"id":15,"name":"Advanced Analytics","slug":"advanced-analytics"}],"video_url":"https:\/\/youtu.be\/VAW2eDht7JA","case_study_url":false,"poster_image":{"ID":7357,"id":7357,"title":"190205_JKM_H2Oai-17196","filename":"190205_JKM_H2Oai-17196.jpg","filesize":3626065,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-17196.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/building-a-world-class-data-science-team\/190205_jkm_h2oai-17196\/","alt":"","author":"12","description":"","caption":"","name":"190205_jkm_h2oai-17196","status":"inherit","uploaded_to":7104,"date":"2019-02-28 23:42:52","modified":"2019-02-28 23:42:52","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":3960,"height":2640,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-17196-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-17196-300x200.jpg","medium-width":300,"medium-height":200,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-17196-768x512.jpg","medium_large-width":768,"medium_large-height":512,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-17196-1024x683.jpg","large-width":1024,"large-height":683,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-17196.jpg","1536x1536-width":1536,"1536x1536-height":1024,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-17196.jpg","2048x2048-width":2048,"2048x2048-height":1365,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-17196-1100x400.jpg","1100X400-width":1100,"1100X400-height":400,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-17196-729x350.jpg","729X350-width":729,"729X350-height":350,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-17196-594x363.jpg","594X363-width":594,"594X363-height":363,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-17196-540x330.jpg","540X330-width":540,"540X330-height":330,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-17196-540x262.jpg","540X262-width":540,"540X262-height":262,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-17196-350x233.jpg","350X450-width":350,"350X450-height":233,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-17196-350x200.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-17196-255x264.jpg","255X264-width":255,"255X264-height":264,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-17196-256x256.jpg","256X256-width":256,"256X256-height":256,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-17196-255x255.jpg","255X255-width":255,"255X255-height":255,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-17196-100x100.jpg","120X36-width":100,"120X36-height":100}},"date":" Mar 1, 2019","feature":false},{"id":7372,"title":"Tech Mahindra: Truck-Roll Prediction using Driverless AI","link":"https:\/\/www.h2o.ai\/customer-stories\/truck-roll-prediction-using-driverless-ai\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17082-350x200.jpg","featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/Tech_Mahindra_New_Logo.svg","excerpt":"","short_content":"How can you predict better, whether a truck roll is needed or not at the","customer_name":"Tech Mahindra","author":{"quote":"AI means many things to many people and it's also in a hype cycle. People want some very quick results with significant advantages. From our advantage point, when we look at AI we see it as a mix of technologies. (...) So when we look at a POC, our angle of conversation is whether we can provide a quick ROI by doing the POC. It's a three-step process that we do as a company for a quick return on investment. But for any other customer, one is the data prep. Second is Driverless Ai, which is where we have a significant value.","name":"Rahul Bhuman","designation":"Vice President"},"challenge":"How can you predict better, whether a truck roll is needed or not at the customer premises?","industry":[{"id":10,"name":"Telecom","slug":"telecom"}],"use_case":[{"id":228,"name":"Predictive Maintenance","slug":"predictive-maintenance"}],"video_url":"https:\/\/youtu.be\/1KQTTxMqelg","case_study_url":false,"poster_image":{"ID":7374,"id":7374,"title":"190205_JKM_H2Oai-17082","filename":"190205_JKM_H2Oai-17082.jpg","filesize":4583150,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17082.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/truck-roll-prediction-using-driverless-ai\/190205_jkm_h2oai-17082\/","alt":"","author":"12","description":"","caption":"","name":"190205_jkm_h2oai-17082","status":"inherit","uploaded_to":7372,"date":"2019-03-01 00:23:08","modified":"2019-03-01 00:23:08","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":3960,"height":2640,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17082-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17082-300x200.jpg","medium-width":300,"medium-height":200,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17082-768x512.jpg","medium_large-width":768,"medium_large-height":512,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17082-1024x683.jpg","large-width":1024,"large-height":683,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17082.jpg","1536x1536-width":1536,"1536x1536-height":1024,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17082.jpg","2048x2048-width":2048,"2048x2048-height":1365,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17082-1100x400.jpg","1100X400-width":1100,"1100X400-height":400,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17082-729x350.jpg","729X350-width":729,"729X350-height":350,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17082-594x363.jpg","594X363-width":594,"594X363-height":363,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17082-540x330.jpg","540X330-width":540,"540X330-height":330,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17082-540x262.jpg","540X262-width":540,"540X262-height":262,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17082-350x233.jpg","350X450-width":350,"350X450-height":233,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17082-350x200.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17082-255x264.jpg","255X264-width":255,"255X264-height":264,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17082-256x256.jpg","256X256-width":256,"256X256-height":256,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17082-255x255.jpg","255X255-width":255,"255X255-height":255,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17082-100x100.jpg","120X36-width":100,"120X36-height":100}},"date":" Mar 1, 2019","feature":false},{"id":7366,"title":"Reproductive Science Center of Bay Area : Machine Learning in Reproductive Science","link":"https:\/\/www.h2o.ai\/customer-stories\/machine-learning-in-reproductive-science\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/logo-rsc-bay-area.svg","excerpt":"","short_content":"Evaluate all the available factors for reproductive science and use machine learning to make sense","customer_name":"Reproductive Science Center of Bay Area ","author":{"quote":"Machine learning actually is not widely used right now in clinical practice. We're just in the beginning. But the power of making decisions with machine learning is great and AutoML is a great tool for the rapid knowledge discovery. We can make decisions right away and it can be personalized decisions.","name":"Oleksii Barash","designation":"Research Director"},"challenge":"Evaluate all the available factors for reproductive science and use machine learning to make sense of the collected data.","industry":[{"id":7,"name":"Healthcare","slug":"healthcare"}],"use_case":[{"id":227,"name":"Yield Prediction","slug":"yield-prediction"}],"video_url":"https:\/\/youtu.be\/dE2ntPX9WeQ","case_study_url":false,"poster_image":{"ID":7367,"id":7367,"title":"190205_JKM_H2Oai-17008","filename":"190205_JKM_H2Oai-17008.jpg","filesize":6781383,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17008.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/machine-learning-in-reproductive-science\/190205_jkm_h2oai-17008\/","alt":"","author":"12","description":"","caption":"","name":"190205_jkm_h2oai-17008","status":"inherit","uploaded_to":7366,"date":"2019-03-01 00:06:08","modified":"2019-03-01 00:06:08","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":3960,"height":2640,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17008-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17008-300x200.jpg","medium-width":300,"medium-height":200,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17008-768x512.jpg","medium_large-width":768,"medium_large-height":512,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17008-1024x683.jpg","large-width":1024,"large-height":683,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17008.jpg","1536x1536-width":1536,"1536x1536-height":1024,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17008.jpg","2048x2048-width":2048,"2048x2048-height":1365,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17008-1100x400.jpg","1100X400-width":1100,"1100X400-height":400,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17008-729x350.jpg","729X350-width":729,"729X350-height":350,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17008-594x363.jpg","594X363-width":594,"594X363-height":363,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17008-540x330.jpg","540X330-width":540,"540X330-height":330,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17008-540x262.jpg","540X262-width":540,"540X262-height":262,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17008-350x233.jpg","350X450-width":350,"350X450-height":233,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17008-350x200.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17008-255x264.jpg","255X264-width":255,"255X264-height":264,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17008-256x256.jpg","256X256-width":256,"256X256-height":256,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17008-255x255.jpg","255X255-width":255,"255X255-height":255,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/03\/190205_JKM_H2Oai-17008-100x100.jpg","120X36-width":100,"120X36-height":100}},"date":" Mar 1, 2019","feature":false},{"id":7364,"title":"Change Healthcare: Extracting Knowledge from Healthcare Data using H2O","link":"https:\/\/www.h2o.ai\/customer-stories\/extracting-knowledge-from-healthcare-data-using-h2o\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16743-1-350x200.jpg","featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare_Logo.svg","excerpt":"","short_content":"Verification of insurance claim audits with a machine learning setting to determine whether a certain","customer_name":"Change Healthcare","author":{"quote":"Working with H2O.ai has always been really great. Right from the start, they've been one of the few machine learning companies that have really acknowledged our restrictions in terms of what we can and can't do with our data. So a lot of the security features that were implemented in H2O-3 were built directly for our company.","name":"Tate Campbell","designation":"Data Scientist"},"challenge":"Verification of insurance claim audits with a machine learning setting to determine whether a certain diagnosis code was coded correctly or whether a hospital charge was billed correctly.","industry":[{"id":7,"name":"Healthcare","slug":"healthcare"}],"use_case":[{"id":89,"name":"Claims Management","slug":"claims-management"}],"video_url":"https:\/\/youtu.be\/Bd7Y2tGKgys","case_study_url":false,"poster_image":{"ID":7365,"id":7365,"title":"190205_JKM_H2Oai-16743","filename":"190205_JKM_H2Oai-16743-1.jpg","filesize":2268992,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16743-1.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/extracting-knowledge-from-healthcare-data-using-h2o\/190205_jkm_h2oai-16743-2\/","alt":"","author":"12","description":"","caption":"","name":"190205_jkm_h2oai-16743-2","status":"inherit","uploaded_to":7364,"date":"2019-03-01 00:01:24","modified":"2019-03-01 00:01:24","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":3960,"height":2640,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16743-1-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16743-1-300x200.jpg","medium-width":300,"medium-height":200,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16743-1-768x512.jpg","medium_large-width":768,"medium_large-height":512,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16743-1-1024x683.jpg","large-width":1024,"large-height":683,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16743-1.jpg","1536x1536-width":1536,"1536x1536-height":1024,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16743-1.jpg","2048x2048-width":2048,"2048x2048-height":1365,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16743-1-1100x400.jpg","1100X400-width":1100,"1100X400-height":400,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16743-1-729x350.jpg","729X350-width":729,"729X350-height":350,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16743-1-594x363.jpg","594X363-width":594,"594X363-height":363,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16743-1-540x330.jpg","540X330-width":540,"540X330-height":330,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16743-1-540x262.jpg","540X262-width":540,"540X262-height":262,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16743-1-350x233.jpg","350X450-width":350,"350X450-height":233,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16743-1-350x200.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16743-1-255x264.jpg","255X264-width":255,"255X264-height":264,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16743-1-256x256.jpg","256X256-width":256,"256X256-height":256,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16743-1-255x255.jpg","255X255-width":255,"255X255-height":255,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16743-1-100x100.jpg","120X36-width":100,"120X36-height":100}},"date":" Mar 1, 2019","feature":false},{"id":7358,"title":"ArmadaHealth: NLP in Aid of Critical Health Decisions","link":"https:\/\/www.h2o.ai\/customer-stories\/nlp-in-aid-of-critical-health-decisions\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16772-1-350x200.jpg","featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/AH-Logo-Navy-300px-1.svg","excerpt":"","short_content":"How ArmadaHealth leverages machine learning to drive an impact in the healthcare space using H2O","customer_name":"ArmadaHealth","author":{"quote":"There's a whole new world of various emotions that you can detect by using NLP methods. (...) This can help you understand the consumer better and bring an empathetic solution in addition to all the other smarts that goes into your AI applications.","name":"Bharath Sudharsan","designation":"Director of Data Science and Innovation"},"challenge":"How ArmadaHealth leverages machine learning to drive an impact in the healthcare space using H2O Driverless AI.","industry":[{"id":7,"name":"Healthcare","slug":"healthcare"}],"use_case":[{"id":90,"name":"Clinical Workflow","slug":"clinical-workflow"}],"video_url":"https:\/\/youtu.be\/LwcQo2gxxog","case_study_url":false,"poster_image":{"ID":7359,"id":7359,"title":"190205_JKM_H2Oai-16772","filename":"190205_JKM_H2Oai-16772-1.jpg","filesize":4936968,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16772-1.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/nlp-in-aid-of-critical-health-decisions\/190205_jkm_h2oai-16772-2\/","alt":"","author":"12","description":"","caption":"","name":"190205_jkm_h2oai-16772-2","status":"inherit","uploaded_to":7358,"date":"2019-02-28 23:48:02","modified":"2019-02-28 23:48:02","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":3960,"height":2640,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16772-1-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16772-1-300x200.jpg","medium-width":300,"medium-height":200,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16772-1-768x512.jpg","medium_large-width":768,"medium_large-height":512,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16772-1-1024x683.jpg","large-width":1024,"large-height":683,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16772-1.jpg","1536x1536-width":1536,"1536x1536-height":1024,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16772-1.jpg","2048x2048-width":2048,"2048x2048-height":1365,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16772-1-1100x400.jpg","1100X400-width":1100,"1100X400-height":400,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16772-1-729x350.jpg","729X350-width":729,"729X350-height":350,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16772-1-594x363.jpg","594X363-width":594,"594X363-height":363,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16772-1-540x330.jpg","540X330-width":540,"540X330-height":330,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16772-1-540x262.jpg","540X262-width":540,"540X262-height":262,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16772-1-350x233.jpg","350X450-width":350,"350X450-height":233,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16772-1-350x200.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16772-1-255x264.jpg","255X264-width":255,"255X264-height":264,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16772-1-256x256.jpg","256X256-width":256,"256X256-height":256,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16772-1-255x255.jpg","255X255-width":255,"255X255-height":255,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/190205_JKM_H2Oai-16772-1-100x100.jpg","120X36-width":100,"120X36-height":100}},"date":" Feb 28, 2019","feature":false},{"id":7355,"title":"Vision Banco: Driverless AI on IBM Power Systems for Predictive Analysis","link":"https:\/\/www.h2o.ai\/customer-stories\/driverless-ai-on-ibm-power-systems-for-predictive-analysis\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/08\/Ruben-Diaz-350x200.jpg","featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/vision-1-100x100.jpg","excerpt":"","short_content":"Improve profitability of core financial services","customer_name":"Vision Banco","author":{"quote":"The automation of the data science process reduced time and costs. And time is money. So, you can do more with the same amount of time. It's possible to deliver more value to the business, develop more use cases and focus the data science effort in the use case instead of development tasks.","name":"Ruben Diaz","designation":"Data Scientist, Vision Banco"},"challenge":"Improve profitability of core financial services","industry":[{"id":5,"name":"Financial Services","slug":"financial-services"}],"use_case":[{"id":240,"name":"Credit Scoring","slug":"credit-scoring"},{"id":238,"name":"Predictive Analysis","slug":"predictive-analysis"},{"id":88,"name":"Risk Management","slug":"risk-management"}],"video_url":"https:\/\/youtu.be\/otq2nQUSV3s","case_study_url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2020\/02\/Vision-Banco-Customer-Case-Study_rnd2.pdf","poster_image":false,"date":" Feb 28, 2019","feature":false},{"id":2148,"title":"G5: Driving Marketing Performance with Machine Learning","link":"https:\/\/www.h2o.ai\/customer-stories\/driving-marketing-performance-with-machine-learning\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048-350x200.jpg","featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/G5_Logo.svg","excerpt":"Through the Intelligent Marketing Cloud, G5 helps customers optimize advertising and lead management to increase marketing efficiency and effectiveness. With a small product team, the pace of model creation, optimization and deployment became a barrier to innovation.","short_content":"Through the Intelligent Marketing Cloud, G5 helps customers optimize advertising and lead management to increase","customer_name":"G5","author":{"quote":"AI to do AI is absolutely a watershed moment in our industry.","name":"Martin Stein","designation":"Chief Product Officer"},"challenge":"Through the Intelligent Marketing Cloud, G5 helps customers optimize advertising and lead management to increase marketing efficiency and effectiveness. With a small product team, the pace of model creation, optimization and deployment became a barrier to innovation. ","industry":[{"id":8,"name":"Marketing","slug":"marketing"}],"use_case":[{"id":92,"name":"Advertising Optimization","slug":"advertising-optimization"},{"id":93,"name":"Lead Scoring","slug":"lead-scoring"}],"video_url":"https:\/\/youtu.be\/f4b2Yoe9JEs","case_study_url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2020\/01\/G5-Customer-Case-Study_rnd1.pdf","poster_image":{"ID":7371,"id":7371,"title":"190205_JKM_H2Oai-17048","filename":"190205_JKM_H2Oai-17048.jpg","filesize":3025068,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/driving-marketing-performance-with-machine-learning\/190205_jkm_h2oai-17048-2\/","alt":"","author":"12","description":"","caption":"","name":"190205_jkm_h2oai-17048-2","status":"inherit","uploaded_to":2148,"date":"2019-03-01 00:13:53","modified":"2019-03-01 00:13:53","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":3960,"height":2640,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048-300x200.jpg","medium-width":300,"medium-height":200,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048-768x512.jpg","medium_large-width":768,"medium_large-height":512,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048-1024x683.jpg","large-width":1024,"large-height":683,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048.jpg","1536x1536-width":1536,"1536x1536-height":1024,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048.jpg","2048x2048-width":2048,"2048x2048-height":1365,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048-1100x400.jpg","1100X400-width":1100,"1100X400-height":400,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048-729x350.jpg","729X350-width":729,"729X350-height":350,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048-594x363.jpg","594X363-width":594,"594X363-height":363,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048-540x330.jpg","540X330-width":540,"540X330-height":330,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048-540x262.jpg","540X262-width":540,"540X262-height":262,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048-350x233.jpg","350X450-width":350,"350X450-height":233,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048-350x200.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048-255x264.jpg","255X264-width":255,"255X264-height":264,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048-256x256.jpg","256X256-width":256,"256X256-height":256,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048-255x255.jpg","255X255-width":255,"255X255-height":255,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/190205_JKM_H2Oai-17048-100x100.jpg","120X36-width":100,"120X36-height":100}},"date":" Feb 28, 2019","feature":false},{"id":6468,"title":"Ducit.ai: Open Banking to Democratize Banking Data","link":"https:\/\/www.h2o.ai\/customer-stories\/open-banking-to-democratize-banking-data\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/01\/radfa-350x200.png","featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/01\/Ducit.ai-logo-OnDark.svg","excerpt":"Open banking is a new legislation in the UK that essentially forced the banks in the UK to open up the data platforms to third parties for two different things – for account aggregation, and to offer new products and services and for payments. We’re creating a platform integrates the process for full financial services […]","short_content":"Open banking is a new legislation in the UK that essentially forced the banks in","customer_name":"Ducit.ai","author":{"quote":"When it comes to developing artificial intelligence products the deployment is where most platforms fall short and with H2O we've got the mojo implementation that essentially simplifies that to the point of being a java object that you incorporate to your platform. That's fantastic!","name":"Rafa Garcia-Navarro","designation":"Co-Founder, CEO, and Chief Data Scientist "},"challenge":"Open banking is a new legislation in the UK that essentially forced the banks in the UK to open up the data platforms to third parties for two different things - for account aggregation, and to offer new products and services and for payments. We're creating a platform integrates the process for full financial services industry for the purposes of credit risk, fraud detection and payments directly from bank accounts, which has never been possible before.","industry":[{"id":5,"name":"Financial Services","slug":"financial-services"}],"use_case":[{"id":232,"name":"Model Deployment","slug":"model-deployment"}],"video_url":"https:\/\/youtu.be\/5bnNOjj_i8Y","case_study_url":false,"poster_image":false,"date":" Jan 15, 2019","feature":false},{"id":6360,"title":"Intel: Using H2O for Anomaly Detection of Network Traffic","link":"https:\/\/www.h2o.ai\/customer-stories\/using-h2o-for-anomaly-detection-of-network-traffic\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/01\/Ed-Dixon-Data-Scientist-Intel-443x509-350x200.png","featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/01\/300px-Intel-logo-1.svg","excerpt":"","short_content":"Ed was a former developer and turned to data science since he could not have","customer_name":"Intel","author":{"quote":"Once we started using H2O we saw the number of false positives reduced significantly within hours.","name":"Ed Dixon","designation":"Data Scientist"},"challenge":"Ed was a former developer and turned to data science since he could not have machines do what he wanted by just coding. Hence, he started to work on Anomaly Detection of Network Traffic using AI.\r\nInitial experiments took month and led to a high rate of false positives. Then he started using H2O and within a few hours he saw the number of false positives reduced significantly.","industry":[{"id":98,"name":"Manufacturing","slug":"manufacturing"}],"use_case":[{"id":83,"name":"Anomaly Detection","slug":"anomaly-detection"}],"video_url":"https:\/\/youtu.be\/vYywPBjxH7E","case_study_url":false,"poster_image":false,"date":" Jan 12, 2019","feature":false},{"id":6320,"title":"Aegon Blue Square Re: A View on AI in Insurance","link":"https:\/\/www.h2o.ai\/customer-stories\/a-view-on-ai-in-insurance\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/01\/paypal_collision_fraud_detection-350x200.jpg","featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/01\/AEGON300x110.svg","excerpt":"","short_content":"A view on what is driving AI and ML developments in insurance and why.\r\n\u2022 ","customer_name":"Aegon Blue Square Re","author":{"quote":"AI and ML touch every point of the insurance value chain and are value enablers.","name":"Chris Madsen","designation":"Co-founder and CEO"},"challenge":"A view on what is driving AI and ML developments in insurance and why.\r\n\u2022             What is driving the change in insurance and why is AI\/ML so important?\r\n\u2022             What does the future look like?\r\n\u2022             Which AI\/ML use cases are being worked on in the industry?\r\n\u2022             Which ones are needed?","industry":[{"id":6,"name":"Insurance","slug":"insurance"}],"use_case":[{"id":83,"name":"Anomaly Detection","slug":"anomaly-detection"},{"id":89,"name":"Claims Management","slug":"claims-management"},{"id":86,"name":"Customer Churn","slug":"customer-churn"},{"id":11,"name":"Fraud Detection","slug":"fraud-detection"}],"video_url":"https:\/\/youtu.be\/LFVIGMMlfhI","case_study_url":"https:\/\/www.slideshare.net\/0xdata\/a-view-on-ai-in-insurance-chris-madsen-h2o-ai-world-london-2018","poster_image":false,"date":" Jan 11, 2019","feature":false},{"id":6315,"title":"Beeswax: Real-Time AI - Designing for Low Latency and High Throughput","link":"https:\/\/www.h2o.ai\/customer-stories\/6315\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/01\/Beeswax.svg","excerpt":"","short_content":"Real-time systems such as those deployed in online advertising impose stringent constraints on the design","customer_name":"Beeswax","author":{"quote":"Digital ad campaign optimization engines need to obtain machine learning predictions within a few milliseconds.","name":"Sergei Izrailev","designation":"Chief Data Scientist"},"challenge":"Real-time systems such as those deployed in online advertising impose stringent constraints on the design of machine learning solutions.\r\nDigital ad campaign optimization engines typically need to obtain machine learning predictions for a given ad within a few milliseconds. At the same time, the number of ads ranges from tens of thousands to millions per second. This presentation describes general\u00a0design patterns that tend to work well in such an environment and illustrates how real-time constraints shaped machine learning system design decisions at Beeswax.","industry":[{"id":8,"name":"Marketing","slug":"marketing"}],"use_case":[{"id":92,"name":"Advertising Optimization","slug":"advertising-optimization"},{"id":229,"name":"Design Patterns","slug":"design-patterns"}],"video_url":"https:\/\/youtu.be\/CeOJFynB6BE","case_study_url":"https:\/\/www.slideshare.net\/0xdata\/realtime-ai-designing-for-low-latency-and-high-throughput-dr-sergei-izrailev-h2o-ai-world-london-2018","poster_image":false,"date":" Jan 11, 2019","feature":false},{"id":6324,"title":"ING: Transforming global organisations into AI driven technology platforms, the lessons learned over the past decade","link":"https:\/\/www.h2o.ai\/customer-stories\/transforming-global-organisations-into-ai-driven-technology-platforms-the-lessons-learned-over-the-past-decade\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/01\/2000px-ING_Group_N.V._Logo.svg","excerpt":"","short_content":"Walter has always worked in companies where technology plays an essential role in delivering the","customer_name":"ING","author":{"quote":"You can only apply AI if you have data. 'Data-nize' everything.","name":"Walter Kok","designation":"Director"},"challenge":"Walter has always worked in companies where technology plays an essential role in delivering the services to the customers. During his career he has experienced in different ways what new technology can do to disrupt the existing ways of working. He has deployed many transformational initiatives in different industries to assure continued success. Recently in the banking industry where Artificial Intelligence and blockchain technologies are totally transforming the way business is done. Walter will share is vision on driving AI transformation in large corporates, regulators and also deep-dive into real use-cases.","industry":[{"id":6,"name":"Insurance","slug":"insurance"}],"use_case":[{"id":230,"name":"Anti Money Laundering","slug":"anti-money-laundering"}],"video_url":"https:\/\/youtu.be\/bpfnD23Ot0M","case_study_url":"https:\/\/www.slideshare.net\/0xdata\/transforming-global-organisations-into-ai-driven-technology-platforms-walter-kok-h2o-ai-world-london-2018","poster_image":false,"date":" Jan 8, 2019","feature":false},{"id":6237,"title":"Macnica Networks: Using DriverlessAI for yield prediction and top responsible features in manufacturing","link":"https:\/\/www.h2o.ai\/customer-stories\/yield-prediction-manufacturing\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/01\/macnica.svg","excerpt":"","short_content":"Manufacturing means production and a successful production depends on various factors including various machineries in","customer_name":"Macnica","author":{"quote":"AI drives yield prediction and production quality.","name":"Avkash Chauhan","designation":"Vice President, Artificial Intelligence Platforms & Businesses"},"challenge":"Manufacturing means production and a successful production depends on various factors including various machineries in then manufacturing environment. For any manufacturer it is important to know how the yield will be for the next manufacturing cycle and what are the key components, contributing to maximum production. The list of key components helps manufacturer to make sure these components are optimize for maximum production all the time. Machine learning is now applied to get the answers to these manufacturing problems and In this session you will see how DriverlessAI is processing manufacturing data, to identify core features which will contribute more to the yield and predict yield in a given time span within near future.","industry":[{"id":98,"name":"Manufacturing","slug":"manufacturing"}],"use_case":[{"id":94,"name":"Manufacturing Optimization","slug":"manufacturing-optimization"},{"id":228,"name":"Predictive Maintenance","slug":"predictive-maintenance"},{"id":227,"name":"Yield Prediction","slug":"yield-prediction"}],"video_url":"https:\/\/www.youtube.com\/watch?v=5_RnA3jBqO8&list=PLNtMya54qvOHh9LaA08hkusynWVStNEhm&index=24","case_study_url":"https:\/\/www.slideshare.net\/0xdata\/using-driverlessai-for-yield-prediction-in-manufacturing-avkash-chauhan-h2o-ai-world-london-2018?qid=cd148c83-4c27-4607-a56f-0d3925cc210e&v=&b=&from_search=4","poster_image":false,"date":" Jan 4, 2019","feature":false},{"id":5966,"title":"Travelport: Near Real-time AI Deployment with Huge Data and Super Low Latency","link":"https:\/\/www.h2o.ai\/customer-stories\/real-time-ai-deployment-low-latency\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/12\/travelport-2.svg","excerpt":"","short_content":"This talk discusses typical machine learning challenges and solutions for (1) model decay, (2) volume","customer_name":"Travelport","author":{"quote":"Benefit of H2O is that it's really, really fast!","name":"Levi Brackman","designation":"Principal Data Scientist"},"challenge":"This talk discusses typical machine learning challenges and solutions for (1) model decay, (2) volume of training data, (3) time series data, (4) compute necessary, (5) scoring latency, and (6) DevOps. Previously, models were accurate at first, but started decaying after only 10 \u2013 15 hours. With near real-time retraining of ML models and strong DevOps processes Travelport solved these challenges.","industry":[{"id":99,"name":"Travel","slug":"travel"}],"use_case":[{"id":215,"name":"Scaling ML Platform","slug":"scaling-ml-platform"}],"video_url":"https:\/\/www.youtube.com\/watch?v=erHt-1yBuUw&t=0s&index=8&list=PLNtMya54qvOHh9LaA08hkusynWVStNEhm","case_study_url":"https:\/\/www.slideshare.net\/0xdata\/near-realtime-ai-deployment-with-huge-data-and-super-low-latency-levi-brackman-h2o-ai-world-london-2018-123151649","poster_image":false,"date":" Dec 12, 2018","feature":false},{"id":5964,"title":"Booking.com: Building a Scalable Machine Learning Platform","link":"https:\/\/www.h2o.ai\/customer-stories\/booking-com\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_Logo.svg","excerpt":"","short_content":"Brammert talks about how to build a machine learning platform that scales to support Booking\u2019s","customer_name":"Booking.com","author":{"quote":"The H2O integration with Spark gives you the best of both worlds: Data munching in Spark and model training in H2O.","name":"Brammert Ottens","designation":"Senior Data Scientist"},"challenge":"Brammert talks about how to build a machine learning platform that scales to support Booking\u2019s 200 data scientists and 1.5 nights reserved every day. He explains the ML pipeline from data collection, training, to production including model and feature monitoring and discoverability. He shows how Booking.com is able to scale their experiments to billions of rows of data using H2O and Sparkling Water.","industry":[{"id":99,"name":"Travel","slug":"travel"}],"use_case":[{"id":215,"name":"Scaling ML Platform","slug":"scaling-ml-platform"}],"video_url":"https:\/\/www.youtube.com\/watch?v=J0vLi_dr2zs&t=0s&index=7&list=PLNtMya54qvOHh9LaA08hkusynWVStNEhm","case_study_url":false,"poster_image":false,"date":" Dec 12, 2018","feature":false},{"id":5486,"title":"Dun & Bradstreet: AI Adoption in Enterprise","link":"https:\/\/www.h2o.ai\/customer-stories\/company-failure-score-by-dun-bradstreet\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/10\/dun-bradstreet-vector-logo-100x100.png","excerpt":"","short_content":"We can identify companies that might go bankrupt, we call it the failure score. This","customer_name":"Dun & Bradstreet","author":{"quote":"One of the many reasons we like working with H2O is H2O's ability to customize and build new teams, working with my team of modelers! \r\n","name":"Nipa Basu","designation":"Chief Analytics Officer"},"challenge":"We can identify companies that might go bankrupt, we call it the failure score. This model predicts the probability that a business will go bankrupt in next 12 months and we have been doing this for a very long time and when you do something for a very long time, getting additional lift gets more and more difficult. Now with the utilization of machine learning, we were able to get lift in the solutions.","industry":[{"id":5,"name":"Financial Services","slug":"financial-services"}],"use_case":[{"id":93,"name":"Lead Scoring","slug":"lead-scoring"}],"video_url":"https:\/\/youtu.be\/cT8Zg7t5S7I","case_study_url":false,"poster_image":false,"date":" Oct 17, 2018","feature":false},{"id":2144,"title":"Reproductive Science Center of the Bay Area: Improving IVF outcomes with Driverless AI","link":"https:\/\/www.h2o.ai\/customer-stories\/improving-ivf-outcomes-with-driverless-ai\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/IntegraMed_RSC_Logo.png","excerpt":"The reproductive services center of the bay area is one of the oldest IVF centers in the United states. Infertiliy impacts 12% of people of productive age. More than 50% of people can have a baby with treatment, but treatment cycles are expensive. Using machine learning is a key tool to help clinical staff make […]","short_content":"The reproductive services center of the bay area is one of the oldest IVF centers","customer_name":"IntegraMed\/ RSC of the Bay Area","author":{"quote":"Driverless AI is awesome. The feature engineering creates combinations that I would never think of even with my domain knowledge.","name":"Oleksii Barash","designation":"IVF Labotory Research Director"},"challenge":"The reproductive services center of the bay area is one of the oldest IVF centers in the United states. Infertiliy impacts 12% of people of productive age. More than 50% of people can have a baby with treatment, but treatment cycles are expensive. Using machine learning is a key tool to help clinical staff make better decisions, streamline processes and reduce costs.","industry":[{"id":7,"name":"Healthcare","slug":"healthcare"}],"use_case":[{"id":90,"name":"Clinical Workflow","slug":"clinical-workflow"}],"video_url":"https:\/\/youtu.be\/AfEtluZIDnY","case_study_url":false,"poster_image":false,"date":" Jul 2, 2018","feature":false},{"id":2143,"title":"Comcast: Preventing unnecessary service visits increases satisfaction and reduces costs","link":"https:\/\/www.h2o.ai\/customer-stories\/preventing-unessesary-service-visits-increases-satisfaction-and-reduces-costs\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast.jpg","featured_img_alt":"Comcast","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast_Logo.svg","excerpt":"Comcast has millions of customers and operates the complete infrastructure that delivers services to households across the United States. When a customer calls for support and the agent cannot solve their problem, a technician is dispatched. Many technical support visits, however, could be solved elsewhere in the network before a technician is sent which would […]","short_content":"Comcast has millions of customers and operates the complete infrastructure that delivers services to households","customer_name":"Comcast","author":{"quote":"We reached 90% accuracy in the real-time deployment and our results were in-sync with the training phase, which was really good.","name":"Bhavana Bhasker, et al.","designation":"Data Scientist"},"challenge":"Comcast has millions of customers and operates the complete infrastructure that delivers services to households across the United States. When a customer calls for support and the agent cannot solve their problem, a technician is dispatched. Many technical support visits, however, could be solved elsewhere in the network before a technician is sent which would improve customer satisfaction and save time and money for the company.","industry":[{"id":10,"name":"Telecom","slug":"telecom"}],"use_case":[{"id":15,"name":"Advanced Analytics","slug":"advanced-analytics"}],"video_url":"https:\/\/youtu.be\/9MNPrLsYUdc","case_study_url":false,"poster_image":{"ID":3141,"id":3141,"title":"Comcast","filename":"Comcast.jpg","filesize":26564,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/preventing-unessesary-service-visits-increases-satisfaction-and-reduces-costs\/comcast-4\/","alt":"Comcast","author":"19","description":"","caption":"","name":"comcast-4","status":"inherit","uploaded_to":2143,"date":"2018-07-18 11:47:31","modified":"2018-12-07 10:38:55","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":350,"height":200,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast-300x171.jpg","medium-width":300,"medium-height":171,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast.jpg","medium_large-width":350,"medium_large-height":200,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast.jpg","large-width":350,"large-height":200,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast.jpg","1536x1536-width":350,"1536x1536-height":200,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast.jpg","2048x2048-width":350,"2048x2048-height":200,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast.jpg","1100X400-width":350,"1100X400-height":200,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast.jpg","729X350-width":350,"729X350-height":200,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast.jpg","594X363-width":350,"594X363-height":200,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast.jpg","540X330-width":350,"540X330-height":200,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast.jpg","540X262-width":350,"540X262-height":200,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast-350x200.jpg","350X450-width":350,"350X450-height":200,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast.jpg","255X264-width":255,"255X264-height":146,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast.jpg","256X256-width":256,"256X256-height":146,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast-255x200.jpg","255X255-width":255,"255X255-height":200,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Comcast.jpg","120X36-width":100,"120X36-height":57}},"date":" Jul 2, 2018","feature":false},{"id":2141,"title":"Macy's: Optimizing Marketing and the Retail Experience","link":"https:\/\/www.h2o.ai\/customer-stories\/optimizing-marketing-and-the-retail-experience\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Macys_Logo.svg","excerpt":"Taking months to build models means that trends have to be long term or seasonal. If Macy’s could take the model bulding process form weeks to days or even hours, they could find patterns that they could use this week or even for just a few days to increase sales or increase customer satisfaction.","short_content":"Taking months to build models means that trends have to be long term or seasonal.","customer_name":"Macy's","author":{"quote":"With H2O we are able to build models quickly so we can find patterns that we can use right away","name":"Daqing Zhao","designation":"Director, Advanced Analytics"},"challenge":"Taking months to build models means that trends have to be long term or seasonal. If Macy's could take the model bulding process form weeks to days or even hours, they could find patterns that they could use this week or even for just a few days to increase sales or increase customer satisfaction.","industry":[{"id":9,"name":"Retail","slug":"retail"}],"use_case":[{"id":86,"name":"Customer Churn","slug":"customer-churn"},{"id":87,"name":"Personalization","slug":"personalization"}],"video_url":"https:\/\/youtu.be\/DBuTgvOYfoo","case_study_url":false,"poster_image":{"ID":3145,"id":3145,"title":"Macys","filename":"Macys.jpg","filesize":24344,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Macys.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/optimizing-marketing-and-the-retail-experience\/macys-3\/","alt":"Macys","author":"19","description":"","caption":"","name":"macys-3","status":"inherit","uploaded_to":2141,"date":"2018-07-18 11:50:32","modified":"2018-09-10 11:19:35","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":350,"height":200,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Macys-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Macys-300x171.jpg","medium-width":300,"medium-height":171,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Macys.jpg","medium_large-width":350,"medium_large-height":200,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Macys.jpg","large-width":350,"large-height":200,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Macys.jpg","1536x1536-width":350,"1536x1536-height":200,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Macys.jpg","2048x2048-width":350,"2048x2048-height":200,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Macys.jpg","1100X400-width":350,"1100X400-height":200,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Macys.jpg","729X350-width":350,"729X350-height":200,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Macys.jpg","594X363-width":350,"594X363-height":200,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Macys.jpg","540X330-width":350,"540X330-height":200,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Macys.jpg","540X262-width":350,"540X262-height":200,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Macys-350x200.jpg","350X450-width":350,"350X450-height":200,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Macys.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Macys.jpg","255X264-width":255,"255X264-height":146,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Macys.jpg","256X256-width":256,"256X256-height":146,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Macys-255x200.jpg","255X255-width":255,"255X255-height":200,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Macys.jpg","120X36-width":100,"120X36-height":57}},"date":" Jul 2, 2018","feature":false},{"id":2140,"title":"Nielsen Catalina Solutions: Delivering Big Data Analytics Insights","link":"https:\/\/www.h2o.ai\/customer-stories\/delivering-big-data-analytics-insights\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ncs-350x200.png","featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Nielsen_Catalina_Solutions_Logo.svg","excerpt":"As the world’s largest provider of TV and online behavior analytics with data on 140 million US households covering over 330 million people, the amount of data that Nielsen Catalina Solutions had to work with was too much for most analytics tools.","short_content":"As the world's largest provider of TV and online behavior analytics with data on 140","customer_name":"Nielsen Catalina Solutions","author":{"quote":"H2O allowed us to interface directly with our existing application and it scales for our massive data set. There is nothing else like it.","name":"Satya Satyamoorthy","designation":"Director of Software Development"},"challenge":"As the world's largest provider of TV and online behavior analytics with data on 140 million US households covering over 330 million people, the amount of data that Nielsen Catalina Solutions had to work with was too much for most analytics tools. ","industry":[{"id":8,"name":"Marketing","slug":"marketing"},{"id":9,"name":"Retail","slug":"retail"}],"use_case":[{"id":92,"name":"Advertising Optimization","slug":"advertising-optimization"},{"id":87,"name":"Personalization","slug":"personalization"}],"video_url":"https:\/\/youtu.be\/ZAnNx5VjFyM","case_study_url":false,"poster_image":{"ID":3147,"id":3147,"title":"Nielsen_Catalina_Solutions","filename":"Nielsen_Catalina_Solutions.jpg","filesize":35894,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Nielsen_Catalina_Solutions.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/delivering-big-data-analytics-insights\/nielsen_catalina_solutions\/","alt":"Nielsen Catalina Solutions","author":"19","description":"","caption":"","name":"nielsen_catalina_solutions","status":"inherit","uploaded_to":2140,"date":"2018-07-18 11:51:52","modified":"2018-09-10 11:20:05","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":350,"height":200,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Nielsen_Catalina_Solutions-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Nielsen_Catalina_Solutions-300x171.jpg","medium-width":300,"medium-height":171,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Nielsen_Catalina_Solutions.jpg","medium_large-width":350,"medium_large-height":200,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Nielsen_Catalina_Solutions.jpg","large-width":350,"large-height":200,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Nielsen_Catalina_Solutions.jpg","1536x1536-width":350,"1536x1536-height":200,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Nielsen_Catalina_Solutions.jpg","2048x2048-width":350,"2048x2048-height":200,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Nielsen_Catalina_Solutions.jpg","1100X400-width":350,"1100X400-height":200,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Nielsen_Catalina_Solutions.jpg","729X350-width":350,"729X350-height":200,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Nielsen_Catalina_Solutions.jpg","594X363-width":350,"594X363-height":200,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Nielsen_Catalina_Solutions.jpg","540X330-width":350,"540X330-height":200,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Nielsen_Catalina_Solutions.jpg","540X262-width":350,"540X262-height":200,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Nielsen_Catalina_Solutions-350x200.jpg","350X450-width":350,"350X450-height":200,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Nielsen_Catalina_Solutions.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Nielsen_Catalina_Solutions.jpg","255X264-width":255,"255X264-height":146,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Nielsen_Catalina_Solutions.jpg","256X256-width":256,"256X256-height":146,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Nielsen_Catalina_Solutions-255x200.jpg","255X255-width":255,"255X255-height":200,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Nielsen_Catalina_Solutions.jpg","120X36-width":100,"120X36-height":57}},"date":" Jul 2, 2018","feature":false},{"id":2139,"title":"MarketShare: Optimizing Advertising with Big Data and H2O","link":"https:\/\/www.h2o.ai\/customer-stories\/optimizing-advertising-with-big-data-and-h20\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Marketshare_Logo.png","excerpt":"Digital log data used for marketing optimization is already in the terabytes and it is increasing rapidly. To develop meaningful analytics for clients the systems used by Marketshare needed scalable tools that would produce accurate results.","short_content":"Digital log data used for marketing optimization is already in the terabytes and it is","customer_name":"MarketShare","author":{"quote":"There is no limit to scaling with H2O. ","name":"Prateem Mandel","designation":"Technical Lead Architect"},"challenge":"Digital log data used for marketing optimization is already in the terabytes and it is increasing rapidly. To develop meaningful analytics for clients the systems used by Marketshare needed scalable tools that would produce accurate results.","industry":[{"id":8,"name":"Marketing","slug":"marketing"}],"use_case":[{"id":15,"name":"Advanced Analytics","slug":"advanced-analytics"},{"id":92,"name":"Advertising Optimization","slug":"advertising-optimization"}],"video_url":"https:\/\/youtu.be\/e-_meTDc1HE","case_study_url":false,"poster_image":{"ID":3149,"id":3149,"title":"Marketshare","filename":"Marketshare.jpg","filesize":27651,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Marketshare.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/optimizing-advertising-with-big-data-and-h20\/marketshare\/","alt":"Marketshare","author":"19","description":"","caption":"","name":"marketshare","status":"inherit","uploaded_to":2139,"date":"2018-07-18 11:53:00","modified":"2018-09-10 11:20:33","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":350,"height":200,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Marketshare-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Marketshare-300x171.jpg","medium-width":300,"medium-height":171,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Marketshare.jpg","medium_large-width":350,"medium_large-height":200,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Marketshare.jpg","large-width":350,"large-height":200,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Marketshare.jpg","1536x1536-width":350,"1536x1536-height":200,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Marketshare.jpg","2048x2048-width":350,"2048x2048-height":200,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Marketshare.jpg","1100X400-width":350,"1100X400-height":200,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Marketshare.jpg","729X350-width":350,"729X350-height":200,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Marketshare.jpg","594X363-width":350,"594X363-height":200,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Marketshare.jpg","540X330-width":350,"540X330-height":200,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Marketshare.jpg","540X262-width":350,"540X262-height":200,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Marketshare-350x200.jpg","350X450-width":350,"350X450-height":200,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Marketshare.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Marketshare.jpg","255X264-width":255,"255X264-height":146,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Marketshare.jpg","256X256-width":256,"256X256-height":146,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Marketshare-255x200.jpg","255X255-width":255,"255X255-height":200,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Marketshare.jpg","120X36-width":100,"120X36-height":57}},"date":" Jul 2, 2018","feature":false},{"id":2138,"title":"Booking.com: Scaling Machine Learning for Marketing Optimization","link":"https:\/\/www.h2o.ai\/customer-stories\/scaling-machine-learning-for-marketing-optimization\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_-1-350x200.jpg","featured_img_alt":"Booking.com","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_Logo.svg","excerpt":"Selling 1.5 million room nights per day with a million partners yields a large number of users and events for analysis and modelling, especially when you use one or two years worth of data. This large dataset is quite challenging to optimize for modelling.","short_content":"Selling 1.5 million room nights per day with a million partners yields a large number","customer_name":"Booking.com","author":{"quote":"We use H2O and Spark for our bigger models. It is easy for us to deploy models with H2O.","name":"Ben Teeuwen","designation":"Senior Data Scientist"},"challenge":"Selling 1.5 million room nights per day with a million partners yields a large number of users and events for analysis and modelling, especially when you use one or two years worth of data. This large dataset is quite challenging to optimize for modelling. ","industry":[{"id":99,"name":"Travel","slug":"travel"}],"use_case":[{"id":92,"name":"Advertising Optimization","slug":"advertising-optimization"},{"id":87,"name":"Personalization","slug":"personalization"}],"video_url":"https:\/\/youtu.be\/_CBKECLkIt8","case_study_url":false,"poster_image":{"ID":3152,"id":3152,"title":"Booking.com","filename":"Booking.com_.jpg","filesize":37928,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/scaling-machine-learning-for-marketing-optimization\/booking-com-2\/","alt":"Booking.com","author":"19","description":"","caption":"","name":"booking-com-2","status":"inherit","uploaded_to":2138,"date":"2018-07-18 11:54:39","modified":"2018-12-07 10:39:20","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":350,"height":200,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_-300x171.jpg","medium-width":300,"medium-height":171,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_.jpg","medium_large-width":350,"medium_large-height":200,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_.jpg","large-width":350,"large-height":200,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_.jpg","1536x1536-width":350,"1536x1536-height":200,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_.jpg","2048x2048-width":350,"2048x2048-height":200,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_.jpg","1100X400-width":350,"1100X400-height":200,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_.jpg","729X350-width":350,"729X350-height":200,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_.jpg","594X363-width":350,"594X363-height":200,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_.jpg","540X330-width":350,"540X330-height":200,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_.jpg","540X262-width":350,"540X262-height":200,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_-350x200.jpg","350X450-width":350,"350X450-height":200,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_.jpg","255X264-width":255,"255X264-height":146,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_.jpg","256X256-width":256,"256X256-height":146,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_-255x200.jpg","255X255-width":255,"255X255-height":200,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Booking.com_.jpg","120X36-width":100,"120X36-height":57}},"date":" Jul 2, 2018","feature":false},{"id":2137,"title":"Beeswax: Optimizing Digital Advertising with H2O","link":"https:\/\/www.h2o.ai\/customer-stories\/optimizing-digital-adverting-with-h2o\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Beeswax_Logo.png","excerpt":"Brands are demanding advertising objectives that are more meaningful to them. It is now possible to tie online advertising to offline purchases. As more facets of advertising and attribution can be measured, it becomes important for brands to take control of their own optimization.","short_content":"Brands are demanding advertising objectives that are more meaningful to them. It is now possible","customer_name":"Beeswax","author":{"quote":"H2O has the experts on their team that can help us. That makes my life easier because people on my team can focus on the business needs.","name":"Sergei Izrailev","designation":"Chief Data Scientist"},"challenge":"Brands are demanding advertising objectives that are more meaningful to them. It is now possible to tie online advertising to offline purchases. As more facets of advertising and attribution can be measured, it becomes important for brands to take control of their own optimization.","industry":[{"id":8,"name":"Marketing","slug":"marketing"}],"use_case":[{"id":15,"name":"Advanced Analytics","slug":"advanced-analytics"},{"id":92,"name":"Advertising Optimization","slug":"advertising-optimization"}],"video_url":"https:\/\/youtu.be\/7QH6KtQBDr4","case_study_url":false,"poster_image":{"ID":3154,"id":3154,"title":"Beeswax","filename":"Beeswax.jpg","filesize":36246,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Beeswax.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/optimizing-digital-adverting-with-h2o\/beeswax-2\/","alt":"Beeswax","author":"19","description":"","caption":"","name":"beeswax-2","status":"inherit","uploaded_to":2137,"date":"2018-07-18 11:55:53","modified":"2018-09-10 11:21:25","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":350,"height":200,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Beeswax-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Beeswax-300x171.jpg","medium-width":300,"medium-height":171,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Beeswax.jpg","medium_large-width":350,"medium_large-height":200,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Beeswax.jpg","large-width":350,"large-height":200,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Beeswax.jpg","1536x1536-width":350,"1536x1536-height":200,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Beeswax.jpg","2048x2048-width":350,"2048x2048-height":200,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Beeswax.jpg","1100X400-width":350,"1100X400-height":200,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Beeswax.jpg","729X350-width":350,"729X350-height":200,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Beeswax.jpg","594X363-width":350,"594X363-height":200,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Beeswax.jpg","540X330-width":350,"540X330-height":200,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Beeswax.jpg","540X262-width":350,"540X262-height":200,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Beeswax-350x200.jpg","350X450-width":350,"350X450-height":200,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Beeswax.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Beeswax.jpg","255X264-width":255,"255X264-height":146,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Beeswax.jpg","256X256-width":256,"256X256-height":146,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Beeswax-255x200.jpg","255X255-width":255,"255X255-height":200,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Beeswax.jpg","120X36-width":100,"120X36-height":57}},"date":" Jul 2, 2018","feature":false},{"id":2136,"title":"Kaiser Permanente: Using Machine Learning to Save Lives","link":"https:\/\/www.h2o.ai\/customer-stories\/using-machine-learning-to-save-lives\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Kaiser_Logo.svg","excerpt":"Patients who experience an unplanned transfer to the ICU experience two to five times the mortality of those that are addmitted directly and they stay in the hospitcal an average of eight to twelve days more. Building an early warning system for these patients would allow clinicians to intervene and improve patient outcomes.","short_content":"Patients who experience an unplanned transfer to the ICU experience two to five times the","customer_name":"Kaiser Permanente","author":{"quote":"With H2O we saw how faster processing and faster access to data can help us and that we don't need to sample anymore.","name":"Taposh Dutta Roy","designation":"Health Data Project Lead"},"challenge":"Patients who experience an unplanned transfer to the ICU experience two to five times the mortality of those that are addmitted directly and they stay in the hospitcal an average of eight to twelve days more. Building an early warning system for these patients would allow clinicians to intervene and improve patient outcomes.","industry":[{"id":7,"name":"Healthcare","slug":"healthcare"}],"use_case":[{"id":15,"name":"Advanced Analytics","slug":"advanced-analytics"},{"id":90,"name":"Clinical Workflow","slug":"clinical-workflow"}],"video_url":"https:\/\/youtu.be\/xm5Bjnw8Ycs","case_study_url":false,"poster_image":{"ID":3156,"id":3156,"title":"Kaiser","filename":"Kaiser.jpg","filesize":26441,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Kaiser.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/using-machine-learning-to-save-lives\/kaiser-2\/","alt":"Kaiser","author":"19","description":"","caption":"","name":"kaiser-2","status":"inherit","uploaded_to":2136,"date":"2018-07-18 11:57:05","modified":"2018-09-10 11:21:49","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":350,"height":200,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Kaiser-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Kaiser-300x171.jpg","medium-width":300,"medium-height":171,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Kaiser.jpg","medium_large-width":350,"medium_large-height":200,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Kaiser.jpg","large-width":350,"large-height":200,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Kaiser.jpg","1536x1536-width":350,"1536x1536-height":200,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Kaiser.jpg","2048x2048-width":350,"2048x2048-height":200,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Kaiser.jpg","1100X400-width":350,"1100X400-height":200,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Kaiser.jpg","729X350-width":350,"729X350-height":200,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Kaiser.jpg","594X363-width":350,"594X363-height":200,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Kaiser.jpg","540X330-width":350,"540X330-height":200,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Kaiser.jpg","540X262-width":350,"540X262-height":200,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Kaiser-350x200.jpg","350X450-width":350,"350X450-height":200,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Kaiser.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Kaiser.jpg","255X264-width":255,"255X264-height":146,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Kaiser.jpg","256X256-width":256,"256X256-height":146,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Kaiser-255x200.jpg","255X255-width":255,"255X255-height":200,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Kaiser.jpg","120X36-width":100,"120X36-height":57}},"date":" Jul 2, 2018","feature":false},{"id":2133,"title":"Change Healthcare: Changing Claims Management for Better Patient Outcomes","link":"https:\/\/www.h2o.ai\/customer-stories\/changing-claims-management-for-better-patient-outcomes\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare-1-350x200.jpg","featured_img_alt":"Change Healthcare","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare_Logo.svg","excerpt":"With a network of hundreds of thousands of providers and thousands of insurance companies with billions of claims per month, improving claims mangement is a huge challenge. AI is critical to finding deniad clams that could be reworked and helping patients find cost effective proceedures.","short_content":"With a network of hundreds of thousands of providers and thousands of insurance companies with","customer_name":"Change Healthcare","author":{"quote":"H2O has been the driver for building models at scale. We are talking about billions of claims. You can't do this with standard off the shelf open source techniques. ","name":"Adam Sullivan","designation":"Director"},"challenge":"With a network of hundreds of thousands of providers and thousands of insurance companies with billions of claims per month, improving claims mangement is a huge challenge. AI is critical to finding deniad clams that could be reworked and helping patients find cost effective proceedures.","industry":[{"id":7,"name":"Healthcare","slug":"healthcare"},{"id":6,"name":"Insurance","slug":"insurance"}],"use_case":[{"id":89,"name":"Claims Management","slug":"claims-management"},{"id":11,"name":"Fraud Detection","slug":"fraud-detection"}],"video_url":"https:\/\/youtu.be\/zTwLETwEyro","case_study_url":false,"poster_image":{"ID":3160,"id":3160,"title":"Change_Healthcare","filename":"Change_Healthcare.jpg","filesize":26524,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/changing-claims-management-for-better-patient-outcomes\/change_healthcare-2\/","alt":"Change Healthcare","author":"19","description":"","caption":"","name":"change_healthcare-2","status":"inherit","uploaded_to":2133,"date":"2018-07-18 12:04:45","modified":"2018-09-10 11:23:07","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":350,"height":200,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare-300x171.jpg","medium-width":300,"medium-height":171,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare.jpg","medium_large-width":350,"medium_large-height":200,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare.jpg","large-width":350,"large-height":200,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare.jpg","1536x1536-width":350,"1536x1536-height":200,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare.jpg","2048x2048-width":350,"2048x2048-height":200,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare.jpg","1100X400-width":350,"1100X400-height":200,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare.jpg","729X350-width":350,"729X350-height":200,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare.jpg","594X363-width":350,"594X363-height":200,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare.jpg","540X330-width":350,"540X330-height":200,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare.jpg","540X262-width":350,"540X262-height":200,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare-350x200.jpg","350X450-width":350,"350X450-height":200,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare.jpg","255X264-width":255,"255X264-height":146,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare.jpg","256X256-width":256,"256X256-height":146,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare-255x200.jpg","255X255-width":255,"255X255-height":200,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Change_Healthcare.jpg","120X36-width":100,"120X36-height":57}},"date":" Jul 2, 2018","feature":false},{"id":2131,"title":"Zurich Insurance: Using Open Source H2O to Drive Advanced Analytics","link":"https:\/\/www.h2o.ai\/customer-stories\/using-open-source-h2o-to-drive-advanced-analytics\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/conor-350x200.png","featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Zurich_Logo.svg","excerpt":"Traditional enterprise analytics platforms were not moving as fast as the analytics field overall and could not keep up with company needs. Being captive to a single provider also did not allow the company to leverag a variety of technologies. Developing on top of an open source platform was key to a next generation analytics […]","short_content":"Traditional enterprise analytics platforms were not moving as fast as the analytics field overall and","customer_name":"Zurich Insurance","author":{"quote":"The ability to do advanced analytics and do more work across the data is going to be the differentiator for insurance companies going forward.","name":"Conner Jensen","designation":"Analytics Program Director"},"challenge":"Traditional enterprise analytics platforms were not moving as fast as the analytics field overall and could not keep up with company needs. Being captive to a single provider also did not allow the company to leverag a variety of technologies. Developing on top of an open source platform was key to a next generation analytics strategy.","industry":[{"id":6,"name":"Insurance","slug":"insurance"}],"use_case":[{"id":15,"name":"Advanced Analytics","slug":"advanced-analytics"},{"id":88,"name":"Risk Management","slug":"risk-management"}],"video_url":"https:\/\/youtu.be\/RI6CCA8rw-0","case_study_url":false,"poster_image":{"ID":3162,"id":3162,"title":"Zurich","filename":"Zurich.jpg","filesize":23816,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Zurich.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/using-open-source-h2o-to-drive-advanced-analytics\/zurich-2\/","alt":"Zurich","author":"19","description":"","caption":"","name":"zurich-2","status":"inherit","uploaded_to":2131,"date":"2018-07-18 12:05:45","modified":"2018-09-10 11:23:29","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":350,"height":200,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Zurich-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Zurich-300x171.jpg","medium-width":300,"medium-height":171,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Zurich.jpg","medium_large-width":350,"medium_large-height":200,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Zurich.jpg","large-width":350,"large-height":200,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Zurich.jpg","1536x1536-width":350,"1536x1536-height":200,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Zurich.jpg","2048x2048-width":350,"2048x2048-height":200,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Zurich.jpg","1100X400-width":350,"1100X400-height":200,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Zurich.jpg","729X350-width":350,"729X350-height":200,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Zurich.jpg","594X363-width":350,"594X363-height":200,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Zurich.jpg","540X330-width":350,"540X330-height":200,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Zurich.jpg","540X262-width":350,"540X262-height":200,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Zurich-350x200.jpg","350X450-width":350,"350X450-height":200,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Zurich.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Zurich.jpg","255X264-width":255,"255X264-height":146,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Zurich.jpg","256X256-width":256,"256X256-height":146,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Zurich-255x200.jpg","255X255-width":255,"255X255-height":200,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Zurich.jpg","120X36-width":100,"120X36-height":57}},"date":" Jul 2, 2018","feature":false},{"id":2129,"title":"Progressive Insurance: Delivering Insight Across the Organization with Fast Data Science","link":"https:\/\/www.h2o.ai\/customer-stories\/delivering-insight-across-the-organization-with-fast-data-science\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive_Data_and_Analytics-350x200.jpg","featured_img_alt":"Progressive Data and Analytics","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive_Logo.svg","excerpt":"With over 14 billion miles of driving data and new data sources available every day, Progressive needed a way to increase time to insight for key business decisions. Using machine learning has become a key driver to drive new insights from big data for the company.","short_content":"With over 14 billion miles of driving data and new data sources available every day,","customer_name":"Progressive","author":{"quote":"With H2O we are able to build many models in a much shorter period of time.","name":"Pawan Divakarla","designation":"Data and Analytics Business Leader"},"challenge":"With over 14 billion miles of driving data and new data sources available every day, Progressive needed a way to increase time to insight for key business decisions. Using machine learning has become a key driver to drive new insights from big data for the company.","industry":[{"id":6,"name":"Insurance","slug":"insurance"}],"use_case":[{"id":15,"name":"Advanced Analytics","slug":"advanced-analytics"},{"id":86,"name":"Customer Churn","slug":"customer-churn"},{"id":87,"name":"Personalization","slug":"personalization"}],"video_url":"https:\/\/youtu.be\/SCiEi8ApG6M","case_study_url":false,"poster_image":{"ID":3164,"id":3164,"title":"Progressive","filename":"Progressive.jpg","filesize":29087,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/delivering-insight-across-the-organization-with-fast-data-science\/progressive-3\/","alt":"Progressive","author":"19","description":"","caption":"","name":"progressive-3","status":"inherit","uploaded_to":2129,"date":"2018-07-18 12:06:45","modified":"2018-09-10 11:24:12","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":350,"height":200,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive-300x171.jpg","medium-width":300,"medium-height":171,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive.jpg","medium_large-width":350,"medium_large-height":200,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive.jpg","large-width":350,"large-height":200,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive.jpg","1536x1536-width":350,"1536x1536-height":200,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive.jpg","2048x2048-width":350,"2048x2048-height":200,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive.jpg","1100X400-width":350,"1100X400-height":200,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive.jpg","729X350-width":350,"729X350-height":200,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive.jpg","594X363-width":350,"594X363-height":200,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive.jpg","540X330-width":350,"540X330-height":200,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive.jpg","540X262-width":350,"540X262-height":200,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive-350x200.jpg","350X450-width":350,"350X450-height":200,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive.jpg","255X264-width":255,"255X264-height":146,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive.jpg","256X256-width":256,"256X256-height":146,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive-255x200.jpg","255X255-width":255,"255X255-height":200,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Progressive.jpg","120X36-width":100,"120X36-height":57}},"date":" Jul 2, 2018","feature":false},{"id":2127,"title":"PayPal: Preventing Customer Churn using Real-time Predictions","link":"https:\/\/www.h2o.ai\/customer-stories\/preventing-customer-churn-using-real-time-predictions\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Logo.svg","excerpt":"When a customer has a poor experience they can stop doing business through Paypal. Unfortunately, Paypal could not see that things had gone bad until it was too late. To get ahead of customer churn, the data science team needed to develop models using a variety of data that would predict customer churn and allow […]","short_content":"When a customer has a poor experience they can stop doing business through Paypal. Unfortunately,","customer_name":"PayPal","author":{"quote":"I trained and scored on the entire data set, not a sample, and it was orders of magnitue faster than other tools. Kudos to H2O.","name":"Julian Bharadi","designation":"Data Scientist"},"challenge":"When a customer has a poor experience they can stop doing business through Paypal. Unfortunately, Paypal could not see that things had gone bad until it was too late. To get ahead of customer churn, the data science team needed to develop models using a variety of data that would predict customer churn and allow the company to quickly take action to re-engage the customer.","industry":[{"id":5,"name":"Financial Services","slug":"financial-services"}],"use_case":[{"id":86,"name":"Customer Churn","slug":"customer-churn"}],"video_url":"https:\/\/youtu.be\/-u--LeFltk4","case_study_url":false,"poster_image":{"ID":3166,"id":3166,"title":"PayPal_Customer_Churn","filename":"PayPal_Customer_Churn.jpg","filesize":19924,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Customer_Churn.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/preventing-customer-churn-using-real-time-predictions\/paypal_customer_churn\/","alt":"PayPal Customer Churn","author":"19","description":"","caption":"","name":"paypal_customer_churn","status":"inherit","uploaded_to":2127,"date":"2018-07-18 12:08:20","modified":"2018-09-10 11:24:41","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":350,"height":200,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Customer_Churn-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Customer_Churn-300x171.jpg","medium-width":300,"medium-height":171,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Customer_Churn.jpg","medium_large-width":350,"medium_large-height":200,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Customer_Churn.jpg","large-width":350,"large-height":200,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Customer_Churn.jpg","1536x1536-width":350,"1536x1536-height":200,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Customer_Churn.jpg","2048x2048-width":350,"2048x2048-height":200,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Customer_Churn.jpg","1100X400-width":350,"1100X400-height":200,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Customer_Churn.jpg","729X350-width":350,"729X350-height":200,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Customer_Churn.jpg","594X363-width":350,"594X363-height":200,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Customer_Churn.jpg","540X330-width":350,"540X330-height":200,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Customer_Churn.jpg","540X262-width":350,"540X262-height":200,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Customer_Churn-350x200.jpg","350X450-width":350,"350X450-height":200,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Customer_Churn.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Customer_Churn.jpg","255X264-width":255,"255X264-height":146,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Customer_Churn.jpg","256X256-width":256,"256X256-height":146,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Customer_Churn-255x200.jpg","255X255-width":255,"255X255-height":200,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Customer_Churn.jpg","120X36-width":100,"120X36-height":57}},"date":" Jul 2, 2018","feature":false},{"id":2124,"title":"PayPal: Preventing Fraud with Deep Learning","link":"https:\/\/www.h2o.ai\/customer-stories\/preventing-fraud-with-deep-learning\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Logo.svg","excerpt":"Fighting fraud at PayPal is a constant battle. From detecting fraud in real-time transactions to catching it before payments are transferred the sophistication of the the approach has to stay ahead of the fraudsters.","short_content":"Fighting fraud at PayPal is a constant battle. From detecting fraud in real-time transactions to","customer_name":"PayPal","author":{"quote":"H2O is highly scalable, has superior performance on big data and an easy to use interface for data scientists.","name":"Venkatesh Ramanathan","designation":"Senior Data Scientist"},"challenge":"Fighting fraud at PayPal is a constant battle. From detecting fraud in real-time transactions to catching it before payments are transferred the sophistication of the the approach has to stay ahead of the fraudsters. ","industry":[{"id":5,"name":"Financial Services","slug":"financial-services"}],"use_case":[{"id":11,"name":"Fraud Detection","slug":"fraud-detection"}],"video_url":"https:\/\/youtu.be\/RqkheMI3Ciw","case_study_url":false,"poster_image":{"ID":3167,"id":3167,"title":"PayPal_Fraud_Detection","filename":"PayPal_Fraud_Detection.jpg","filesize":22253,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Fraud_Detection.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/preventing-fraud-with-deep-learning\/paypal_fraud_detection\/","alt":"PayPal Fraud Detection","author":"19","description":"","caption":"","name":"paypal_fraud_detection","status":"inherit","uploaded_to":2124,"date":"2018-07-18 12:10:29","modified":"2018-09-10 11:25:04","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":350,"height":200,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Fraud_Detection-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Fraud_Detection-300x171.jpg","medium-width":300,"medium-height":171,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Fraud_Detection.jpg","medium_large-width":350,"medium_large-height":200,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Fraud_Detection.jpg","large-width":350,"large-height":200,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Fraud_Detection.jpg","1536x1536-width":350,"1536x1536-height":200,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Fraud_Detection.jpg","2048x2048-width":350,"2048x2048-height":200,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Fraud_Detection.jpg","1100X400-width":350,"1100X400-height":200,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Fraud_Detection.jpg","729X350-width":350,"729X350-height":200,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Fraud_Detection.jpg","594X363-width":350,"594X363-height":200,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Fraud_Detection.jpg","540X330-width":350,"540X330-height":200,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Fraud_Detection.jpg","540X262-width":350,"540X262-height":200,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Fraud_Detection-350x200.jpg","350X450-width":350,"350X450-height":200,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Fraud_Detection.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Fraud_Detection.jpg","255X264-width":255,"255X264-height":146,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Fraud_Detection.jpg","256X256-width":256,"256X256-height":146,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Fraud_Detection-255x200.jpg","255X255-width":255,"255X255-height":200,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Fraud_Detection.jpg","120X36-width":100,"120X36-height":57}},"date":" Jul 2, 2018","feature":false},{"id":2121,"title":"Equifax: Building Advanced Analytics using H2O","link":"https:\/\/www.h2o.ai\/customer-stories\/building-advanced-analytics-using-h2o\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Equifax_Logo.svg","excerpt":"Equifax is a leading credit reporting agency. With a massive amount of data, Equifax developed tools for thier own analysts, statisticians and data scientists. These tools then became the Equifax Ignite analytics platform. With Ignite, Equifax customers can use Equifax data combined with their own data and third party data to build advanced analytic applications […]","short_content":"Equifax is a leading credit reporting agency.  With a massive amount of data, Equifax","customer_name":"Equifax","author":{"quote":"H2O has been a great partner for us for deploying Ignite solutions for some of our top clients.","name":"Pinaki Ghosh","designation":"Senior Director"},"challenge":"Equifax is a leading credit reporting agency.  With a massive amount of data, Equifax developed tools for thier own analysts, statisticians and data scientists. These tools then became the Equifax Ignite analytics platform. With Ignite, Equifax customers can use Equifax data combined with their own data and third party data to build advanced analytic applications using machine learning. ","industry":[{"id":5,"name":"Financial Services","slug":"financial-services"}],"use_case":[{"id":15,"name":"Advanced Analytics","slug":"advanced-analytics"}],"video_url":"https:\/\/youtu.be\/gJ282AeF00Y","case_study_url":false,"poster_image":{"ID":3169,"id":3169,"title":"Equifax","filename":"Equifax.jpg","filesize":33571,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Equifax.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/building-advanced-analytics-using-h2o\/equifax-2\/","alt":"Equifax","author":"19","description":"","caption":"","name":"equifax-2","status":"inherit","uploaded_to":2121,"date":"2018-07-18 12:11:28","modified":"2018-09-10 11:25:28","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":350,"height":200,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Equifax-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Equifax-300x171.jpg","medium-width":300,"medium-height":171,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Equifax.jpg","medium_large-width":350,"medium_large-height":200,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Equifax.jpg","large-width":350,"large-height":200,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Equifax.jpg","1536x1536-width":350,"1536x1536-height":200,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Equifax.jpg","2048x2048-width":350,"2048x2048-height":200,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Equifax.jpg","1100X400-width":350,"1100X400-height":200,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Equifax.jpg","729X350-width":350,"729X350-height":200,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Equifax.jpg","594X363-width":350,"594X363-height":200,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Equifax.jpg","540X330-width":350,"540X330-height":200,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Equifax.jpg","540X262-width":350,"540X262-height":200,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Equifax-350x200.jpg","350X450-width":350,"350X450-height":200,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Equifax.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Equifax.jpg","255X264-width":255,"255X264-height":146,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Equifax.jpg","256X256-width":256,"256X256-height":146,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Equifax-255x200.jpg","255X255-width":255,"255X255-height":200,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Equifax.jpg","120X36-width":100,"120X36-height":57}},"date":" Jul 2, 2018","feature":false},{"id":2118,"title":"Capital One: Building machine learning to improve business applications","link":"https:\/\/www.h2o.ai\/customer-stories\/building-machine-learning-to-improve-busienss-applications\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Featured_Building_Machine_Learning-350x200.jpg","featured_img_alt":"Featured Building Machine Learning","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Logo.svg","excerpt":"Across the enterprise there are numerous processes that require decisions which are typically rules driven. When these rules can be replaced by a more optimal systems using machine learning the company can improve efficiency of decision making, decrease costs, improve employee experiences and customer satisfaction.","short_content":"Across the enterprise there are numerous processes that require decisions which are typically rules driven.","customer_name":"Capital One","author":{"quote":"H2O is an easy to use, scalable and powerful platform.","name":"Karthik Avarabhoomi","designation":"Director"},"challenge":"Across the enterprise there are numerous processes that require decisions which are typically rules driven. When these rules can be replaced by a more optimal systems using machine learning the company can improve efficiency of decision making, decrease costs, improve employee experiences and customer satisfaction.","industry":[{"id":5,"name":"Financial Services","slug":"financial-services"}],"use_case":[{"id":85,"name":"Application Automation","slug":"application-automation"},{"id":11,"name":"Fraud Detection","slug":"fraud-detection"}],"video_url":"https:\/\/youtu.be\/y-fCeqcy-fg","case_study_url":false,"poster_image":{"ID":3173,"id":3173,"title":"Capital_One_Buliding_Machine_Learning","filename":"Capital_One_Buliding_Machine_Learning.jpg","filesize":21895,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Buliding_Machine_Learning.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/building-machine-learning-to-improve-busienss-applications\/capital_one_buliding_machine_learning\/","alt":"Capital One Buliding Machine_Learning","author":"19","description":"","caption":"","name":"capital_one_buliding_machine_learning","status":"inherit","uploaded_to":2118,"date":"2018-07-18 12:17:43","modified":"2018-09-10 11:30:00","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":350,"height":200,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Buliding_Machine_Learning-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Buliding_Machine_Learning-300x171.jpg","medium-width":300,"medium-height":171,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Buliding_Machine_Learning.jpg","medium_large-width":350,"medium_large-height":200,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Buliding_Machine_Learning.jpg","large-width":350,"large-height":200,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Buliding_Machine_Learning.jpg","1536x1536-width":350,"1536x1536-height":200,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Buliding_Machine_Learning.jpg","2048x2048-width":350,"2048x2048-height":200,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Buliding_Machine_Learning.jpg","1100X400-width":350,"1100X400-height":200,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Buliding_Machine_Learning.jpg","729X350-width":350,"729X350-height":200,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Buliding_Machine_Learning.jpg","594X363-width":350,"594X363-height":200,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Buliding_Machine_Learning.jpg","540X330-width":350,"540X330-height":200,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Buliding_Machine_Learning.jpg","540X262-width":350,"540X262-height":200,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Buliding_Machine_Learning-350x200.jpg","350X450-width":350,"350X450-height":200,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Buliding_Machine_Learning.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Buliding_Machine_Learning.jpg","255X264-width":255,"255X264-height":146,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Buliding_Machine_Learning.jpg","256X256-width":256,"256X256-height":146,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Buliding_Machine_Learning-255x200.jpg","255X255-width":255,"255X255-height":200,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Buliding_Machine_Learning.jpg","120X36-width":100,"120X36-height":57}},"date":" Jul 2, 2018","feature":false},{"id":2116,"title":"Capital One: Building a Real-time Security Application","link":"https:\/\/www.h2o.ai\/customer-stories\/building-a-real-time-security-application\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Logo.svg","excerpt":"Bad actors are constantly attacking large financial services companies like Capital One. Alerts that would prevent extensive damage are available but get lost in the noise. The team needed to use machine learning to identify the events that are really critical and take relevant actions against them in real-time.","short_content":"Bad actors are constantly attacking large financial services companies like Capital One. Alerts that would","customer_name":"Capital One","author":{"quote":"We are not just focused on building the model just to prove an anomaly, we want to run it on real systems. ","name":"Karthik Avarabhoomi","designation":" Director"},"challenge":"Bad actors are constantly attacking large financial services companies like Capital One. Alerts that would prevent extensive damage are available but get lost in the noise. The team needed to use machine learning to identify the events that are really critical and take relevant actions against them in real-time.","industry":[{"id":5,"name":"Financial Services","slug":"financial-services"}],"use_case":[{"id":83,"name":"Anomaly Detection","slug":"anomaly-detection"},{"id":84,"name":"Cybersecurity","slug":"cybersecurity"},{"id":82,"name":"Infrastructure Monitoring","slug":"infrastructure-monitoring"}],"video_url":"https:\/\/youtu.be\/UObgUPf2elU","case_study_url":false,"poster_image":{"ID":3172,"id":3172,"title":"Capital_One_RealTime_Security","filename":"Capital_One_RealTime_Security.jpg","filesize":23962,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_RealTime_Security.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/building-a-real-time-security-application\/capital_one_realtime_security\/","alt":"Capital One RealTime Security","author":"19","description":"","caption":"","name":"capital_one_realtime_security","status":"inherit","uploaded_to":2116,"date":"2018-07-18 12:15:18","modified":"2018-09-10 11:30:21","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":350,"height":200,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_RealTime_Security-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_RealTime_Security-300x171.jpg","medium-width":300,"medium-height":171,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_RealTime_Security.jpg","medium_large-width":350,"medium_large-height":200,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_RealTime_Security.jpg","large-width":350,"large-height":200,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_RealTime_Security.jpg","1536x1536-width":350,"1536x1536-height":200,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_RealTime_Security.jpg","2048x2048-width":350,"2048x2048-height":200,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_RealTime_Security.jpg","1100X400-width":350,"1100X400-height":200,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_RealTime_Security.jpg","729X350-width":350,"729X350-height":200,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_RealTime_Security.jpg","594X363-width":350,"594X363-height":200,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_RealTime_Security.jpg","540X330-width":350,"540X330-height":200,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_RealTime_Security.jpg","540X262-width":350,"540X262-height":200,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_RealTime_Security-350x200.jpg","350X450-width":350,"350X450-height":200,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_RealTime_Security.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_RealTime_Security.jpg","255X264-width":255,"255X264-height":146,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_RealTime_Security.jpg","256X256-width":256,"256X256-height":146,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_RealTime_Security-255x200.jpg","255X255-width":255,"255X255-height":200,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_RealTime_Security.jpg","120X36-width":100,"120X36-height":57}},"date":" Jul 2, 2018","feature":false},{"id":2109,"title":"Capital One: Preventing Downtime with Mobile Transaction Forecasing and Anomaly Detection","link":"https:\/\/www.h2o.ai\/customer-stories\/preventing-downtime-with-mobile-transaction-forecasing-and-anomaly-detection\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/CapitalOne-350x200.jpg","featured_img_alt":"CapitalOne","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Logo.svg","excerpt":"Mobile bankng is a key application for Capital One serving millions of customers per day. Predicting infrastructure issues before they become bottlenecks and impact customer transactions is a key goal of the technology operations group. Effective prediction requires has to scale across large datasets and take into account a variety of time series factors that […]","short_content":"Mobile bankng is a key application for Capital One serving millions of customers per day.","customer_name":"Capital One","author":{"quote":"H2O Sparkling Water allowed us to do rapid prototyping with a wide variety of algorithms.","name":"Rahul Gupta","designation":"Data Engineer"},"challenge":"Mobile bankng is a key application for Capital One serving millions of customers per day. Predicting infrastructure issues before they become bottlenecks and impact customer transactions is a key goal of the technology operations group. Effective prediction requires has to scale across large datasets and take into account a variety of time series factors that make this problem unique.","industry":[{"id":5,"name":"Financial Services","slug":"financial-services"}],"use_case":[{"id":82,"name":"Infrastructure Monitoring","slug":"infrastructure-monitoring"}],"video_url":"https:\/\/youtu.be\/e0vOTY6QdO4","case_study_url":false,"poster_image":{"ID":3171,"id":3171,"title":"Capital_One_Preventing_Downtime","filename":"Capital_One_Preventing_Downtime.jpg","filesize":56442,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Preventing_Downtime.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/building-machine-learning-to-improve-busienss-applications\/capital_one_preventing_downtime\/","alt":"Capital One Preventing Downtime","author":"19","description":"","caption":"","name":"capital_one_preventing_downtime","status":"inherit","uploaded_to":2118,"date":"2018-07-18 12:14:23","modified":"2018-09-10 11:30:50","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":350,"height":200,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Preventing_Downtime-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Preventing_Downtime-300x171.jpg","medium-width":300,"medium-height":171,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Preventing_Downtime.jpg","medium_large-width":350,"medium_large-height":200,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Preventing_Downtime.jpg","large-width":350,"large-height":200,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Preventing_Downtime.jpg","1536x1536-width":350,"1536x1536-height":200,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Preventing_Downtime.jpg","2048x2048-width":350,"2048x2048-height":200,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Preventing_Downtime.jpg","1100X400-width":350,"1100X400-height":200,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Preventing_Downtime.jpg","729X350-width":350,"729X350-height":200,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Preventing_Downtime.jpg","594X363-width":350,"594X363-height":200,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Preventing_Downtime.jpg","540X330-width":350,"540X330-height":200,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Preventing_Downtime.jpg","540X262-width":350,"540X262-height":200,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Preventing_Downtime-350x200.jpg","350X450-width":350,"350X450-height":200,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Preventing_Downtime.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Preventing_Downtime.jpg","255X264-width":255,"255X264-height":146,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Preventing_Downtime.jpg","256X256-width":256,"256X256-height":146,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Preventing_Downtime-255x200.jpg","255X255-width":255,"255X255-height":200,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Capital_One_Preventing_Downtime.jpg","120X36-width":100,"120X36-height":57}},"date":" Jul 2, 2018","feature":false},{"id":2010,"title":"Paypal: Keeping Fraudsters at Bay with H2O Driverless AI","link":"https:\/\/www.h2o.ai\/customer-stories\/keeping-fraudsters-at-bay-with-h2o-driverless-ai\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/Customer_Stories_PayPal_Featured_Image-350x200.jpg","featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Logo.svg","excerpt":"To protect consumers from fraud, PayPal offers an extensive purchase protection for buyers and sellers. Unfortunately, fraudsters have taken advantage of the benefit by working together to create fraudulent transactions. To stop collusion fraud, Paypal needed to look at new ways of detecting and preventing transactions using networks of customer data.","short_content":"To protect consumers  from fraud, PayPal offers an extensive purchase protection for buyers and","customer_name":"Paypal","author":{"quote":"H2O Driverless AI gives amazing performance in terms of feature performance and also model performance.","name":"Venkatesh Ramanathan","designation":"Senior Data Scientist"},"challenge":"To protect consumers  from fraud, PayPal offers an extensive purchase protection for buyers and sellers. Unfortunately, fraudsters have taken advantage of the benefit by working together to create fraudulent transactions. To stop collusion fraud, Paypal needed to look at new ways of detecting and preventing transactions using networks of customer data.","industry":[{"id":5,"name":"Financial Services","slug":"financial-services"}],"use_case":[{"id":11,"name":"Fraud Detection","slug":"fraud-detection"}],"video_url":"https:\/\/www.youtube.com\/watch?v=r9S3xchrzlY","case_study_url":false,"poster_image":{"ID":3175,"id":3175,"title":"PayPal_Collision","filename":"PayPal_Collision.jpg","filesize":32247,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Collision.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/keeping-fraudsters-at-bay-with-h2o-driverless-ai\/paypal_collision\/","alt":"PayPal Collision","author":"19","description":"","caption":"","name":"paypal_collision","status":"inherit","uploaded_to":2010,"date":"2018-07-18 12:20:10","modified":"2018-09-10 10:39:39","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":350,"height":200,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Collision-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Collision-300x171.jpg","medium-width":300,"medium-height":171,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Collision.jpg","medium_large-width":350,"medium_large-height":200,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Collision.jpg","large-width":350,"large-height":200,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Collision.jpg","1536x1536-width":350,"1536x1536-height":200,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Collision.jpg","2048x2048-width":350,"2048x2048-height":200,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Collision.jpg","1100X400-width":350,"1100X400-height":200,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Collision.jpg","729X350-width":350,"729X350-height":200,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Collision.jpg","594X363-width":350,"594X363-height":200,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Collision.jpg","540X330-width":350,"540X330-height":200,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Collision.jpg","540X262-width":350,"540X262-height":200,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Collision-350x200.jpg","350X450-width":350,"350X450-height":200,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Collision.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Collision.jpg","255X264-width":255,"255X264-height":146,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Collision.jpg","256X256-width":256,"256X256-height":146,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Collision-255x200.jpg","255X255-width":255,"255X255-height":200,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PayPal_Collision.jpg","120X36-width":100,"120X36-height":57}},"date":" Jul 1, 2018","feature":false},{"id":2007,"title":"ADP: Building Next Generation Payroll and HR Applications with H2O","link":"https:\/\/www.h2o.ai\/customer-stories\/building-next-generation-payroll-and-hr-applications-with-h2o\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ADP_Logo.svg","excerpt":"ADP helps to manage HR for over 35 million employees and creates and captures data that can be used to create new data products and analytics for their customers. Without a team of PhDs and data engineers, they needed technology that would help them easily create and deploy models.","short_content":"ADP helps to manage HR for over 35 million employees and creates and captures data","customer_name":"ADP","author":{"quote":"H2O just makes modelling so much faster, not only to produce data products but we also created a platform for our customers.","name":"Xiaojing Wang","designation":"Principal Data Scientist"},"challenge":"ADP helps to manage HR for over 35 million employees and creates and captures data that can be used to create new data products and analytics for their customers. Without a team of PhDs and data engineers, they needed technology that would help them easily create and deploy models.","industry":[{"id":5,"name":"Financial Services","slug":"financial-services"},{"id":96,"name":"Services","slug":"services"}],"use_case":[{"id":15,"name":"Advanced Analytics","slug":"advanced-analytics"}],"video_url":"https:\/\/www.youtube.com\/watch?v=qqRecwvNoBM","case_study_url":false,"poster_image":{"ID":3177,"id":3177,"title":"ADP_Payroll","filename":"ADP_Payroll.jpg","filesize":43221,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ADP_Payroll.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/building-next-generation-payroll-and-hr-applications-with-h2o\/adp_payroll\/","alt":"ADP Payroll","author":"19","description":"","caption":"","name":"adp_payroll","status":"inherit","uploaded_to":2007,"date":"2018-07-18 12:22:05","modified":"2018-09-10 11:31:15","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":350,"height":200,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ADP_Payroll-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ADP_Payroll-300x171.jpg","medium-width":300,"medium-height":171,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ADP_Payroll.jpg","medium_large-width":350,"medium_large-height":200,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ADP_Payroll.jpg","large-width":350,"large-height":200,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ADP_Payroll.jpg","1536x1536-width":350,"1536x1536-height":200,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ADP_Payroll.jpg","2048x2048-width":350,"2048x2048-height":200,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ADP_Payroll.jpg","1100X400-width":350,"1100X400-height":200,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ADP_Payroll.jpg","729X350-width":350,"729X350-height":200,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ADP_Payroll.jpg","594X363-width":350,"594X363-height":200,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ADP_Payroll.jpg","540X330-width":350,"540X330-height":200,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ADP_Payroll.jpg","540X262-width":350,"540X262-height":200,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ADP_Payroll-350x200.jpg","350X450-width":350,"350X450-height":200,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ADP_Payroll.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ADP_Payroll.jpg","255X264-width":255,"255X264-height":146,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ADP_Payroll.jpg","256X256-width":256,"256X256-height":146,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ADP_Payroll-255x200.jpg","255X255-width":255,"255X255-height":200,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/ADP_Payroll.jpg","120X36-width":100,"120X36-height":57}},"date":" Jul 1, 2018","feature":false},{"id":6774,"title":"PwC: AI Powered Audit","link":"https:\/\/www.h2o.ai\/customer-stories\/ai-powered-audit\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/Untitled-design-2-350x200.png","featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/PricewaterhouseCoopers_Logo-100x100.png","excerpt":"PwC combining deep dynamic machine analysis with the human analysis with the human experience to pinpoint errors, decrease risks and find fraud in near real time.","short_content":"","customer_name":"PwC","author":{"quote":"Part of the reason for wanting to work with H2O was really the passion and purpose that H2O had around advancing finance and democratizing AI for finance. We were really looking to solve an important problem with some of the world's best brains. You know, that time it felt like a bet, now looking back on it, it feels like the most natural thing to do that we should have always done.","name":"Gary Rapsey","designation":"Global Assurance Chief Innovation Officer"},"challenge":"","industry":[{"id":5,"name":"Financial Services","slug":"financial-services"}],"use_case":[],"video_url":"https:\/\/www.youtube.com\/watch?time_continue=3&v=gceEuqeNMv0","case_study_url":false,"poster_image":{"ID":6776,"id":6776,"title":"gary rapsey","filename":"gary-rapsey.png","filesize":4422680,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/gary-rapsey.png","link":"https:\/\/www.h2o.ai\/customer-stories\/ai-powered-audit\/gary-rapsey-2\/","alt":"","author":"12","description":"","caption":"","name":"gary-rapsey-2","status":"inherit","uploaded_to":6774,"date":"2019-02-04 06:16:06","modified":"2019-02-04 06:16:06","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":2872,"height":1490,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/gary-rapsey-150x150.png","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/gary-rapsey-300x156.png","medium-width":300,"medium-height":156,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/gary-rapsey-768x398.png","medium_large-width":768,"medium_large-height":398,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/gary-rapsey-1024x531.png","large-width":1024,"large-height":531,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/gary-rapsey.png","1536x1536-width":1536,"1536x1536-height":797,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/gary-rapsey.png","2048x2048-width":2048,"2048x2048-height":1063,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/gary-rapsey-1100x400.png","1100X400-width":1100,"1100X400-height":400,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/gary-rapsey-729x350.png","729X350-width":729,"729X350-height":350,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/gary-rapsey-594x363.png","594X363-width":594,"594X363-height":363,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/gary-rapsey-540x330.png","540X330-width":540,"540X330-height":330,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/gary-rapsey-540x262.png","540X262-width":540,"540X262-height":262,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/gary-rapsey-350x182.png","350X450-width":350,"350X450-height":182,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/gary-rapsey-350x200.png","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/gary-rapsey-255x264.png","255X264-width":255,"255X264-height":264,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/gary-rapsey-256x256.png","256X256-width":256,"256X256-height":256,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/gary-rapsey-255x255.png","255X255-width":255,"255X255-height":255,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/02\/gary-rapsey-100x100.png","120X36-width":100,"120X36-height":100}},"date":" Feb 4, 2018","feature":true},{"id":2135,"title":"HCA: Predicting Patient Outcomes in Real-time with H2O","link":"https:\/\/www.h2o.ai\/customer-stories\/predicting-patient-outcomes-in-real-time-with-h2\/","featured_img":null,"featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/HCA_Logo.svg","excerpt":"As the leading healthcare provider with 169 hostpials, 116 surgury centers, over 200,000 employees,and 26 mllion patient encounters per year, HCA is always looking for ways to improve patient care and manage costs.","short_content":"As the leading healthcare provider with 169 hostpials, 116 surgury centers, over 200,000 employees,and 26","customer_name":"HCA","author":{"quote":"With H2O we are building models to improve the patient experience in our hospitals and improve the nursing and doctor workflows as well.","name":"Allison Baker","designation":"Data Scientist"},"challenge":"As the leading healthcare provider with 169 hostpials, 116 surgury centers, over 200,000 employees,and 26 mllion patient encounters per year, HCA is always looking for ways to improve patient care and manage costs. ","industry":[{"id":7,"name":"Healthcare","slug":"healthcare"}],"use_case":[{"id":15,"name":"Advanced Analytics","slug":"advanced-analytics"},{"id":90,"name":"Clinical Workflow","slug":"clinical-workflow"},{"id":91,"name":"Disease Propensity","slug":"disease-propensity"}],"video_url":"https:\/\/youtu.be\/OYThnlcVD9g","case_study_url":false,"poster_image":{"ID":3158,"id":3158,"title":"HCA","filename":"HCA.jpg","filesize":25207,"url":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/HCA.jpg","link":"https:\/\/www.h2o.ai\/customer-stories\/predicting-patient-outcomes-in-real-time-with-h2\/hca\/","alt":"HCA","author":"19","description":"","caption":"","name":"hca","status":"inherit","uploaded_to":2135,"date":"2018-07-18 11:58:19","modified":"2018-09-10 11:22:41","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.h2o.ai\/wp-includes\/images\/media\/default.png","width":350,"height":200,"sizes":{"thumbnail":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/HCA-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/HCA-300x171.jpg","medium-width":300,"medium-height":171,"medium_large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/HCA.jpg","medium_large-width":350,"medium_large-height":200,"large":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/HCA.jpg","large-width":350,"large-height":200,"1536x1536":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/HCA.jpg","1536x1536-width":350,"1536x1536-height":200,"2048x2048":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/HCA.jpg","2048x2048-width":350,"2048x2048-height":200,"1100X400":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/HCA.jpg","1100X400-width":350,"1100X400-height":200,"729X350":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/HCA.jpg","729X350-width":350,"729X350-height":200,"594X363":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/HCA.jpg","594X363-width":350,"594X363-height":200,"540X330":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/HCA.jpg","540X330-width":350,"540X330-height":200,"540X262":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/HCA.jpg","540X262-width":350,"540X262-height":200,"350X450":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/HCA-350x200.jpg","350X450-width":350,"350X450-height":200,"350X200":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/HCA.jpg","350X200-width":350,"350X200-height":200,"255X264":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/HCA.jpg","255X264-width":255,"255X264-height":146,"256X256":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/HCA.jpg","256X256-width":256,"256X256-height":146,"255X255":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/HCA-255x200.jpg","255X255-width":255,"255X255-height":200,"120X36":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/HCA.jpg","120X36-width":100,"120X36-height":57}},"date":" Jul 2, 2017","feature":false},{"id":7923,"title":"PwC: Truth in Numbers","link":"https:\/\/www.h2o.ai\/customer-stories\/pwc-truth-in-numbers\/","featured_img":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2019\/04\/h2oWorld.aiNYC133-350x200.jpg","featured_img_alt":"","customer_logo":"https:\/\/www.h2o.ai\/wp-content\/uploads\/2018\/07\/PWC_Logo.svg","excerpt":"","short_content":"","customer_name":"PwC","author":{"quote":"Part of the reason for wanting to work with H2O was really the passion and purpose that H2O had around advancing finance and democratizing AI for finance. We were really looking to solve an important problem with some of the world's best brains. You know, that time it felt like a bet, now looking back on it, it feels like the most natural thing to do that we should have always done.","name":"Gary Rapsey","designation":"Global Assurance Chief Innovation Officer"},"challenge":"","industry":[{"id":5,"name":"Financial Services","slug":"financial-services"}],"use_case":[],"video_url":"https:\/\/www.youtube.com\/watch?v=94srq0ZUlf4&feature=youtu.be","case_study_url":false,"poster_image":false,"date":" Apr 6, 2017","feature":false}]