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5 Key Elements to Detecting Fraud Quicker With AI
by Bruna Smith October 13, 2020 Financial Services Fraud Detection H2O Driverless AI

The number of transactions using electronic financial instruments has been increasing by about 23% year over year. The global COVID-19 pandemic has only accelerated that process. Electronic means have become the primary vehicle of how people purchase their goods. With this sudden increase in transactions, fraud detection systems are stressed. They need to be much […]

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3 Ways to Ensure Responsible AI Tools are Effective
by Bruna Smith October 7, 2020 Explainable AI H2O Driverless AI Machine Learning Machine Learning Interpretability Responsible AI

Since we began our journey making tools for explainable AI (XAI) in late 2016, we’ve learned many lessons, and often the hard way. Through headlines, we’ve seen others grapple with the difficulties of deploying AI systems too. Whether it’s: a healthcare resource allocation system that likely discriminated against millions of black people data privacy violations […]

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Accelerating AI Transformation in Healthcare
by Bruna Smith October 7, 2020 Business Community H2O Driverless AI Machine Learning

The healthcare industry is evolving rapidly with volumes of data and increasing challenges. Early adopters of AI and machine learning in the healthcare space have embraced new data-driven initiatives and are reaping the benefits not only in terms of patient care but also in their own operations. Hospitals, physicians, and laboratories can now use patient […]

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Modèles NLP avec BERT
by Bruna Smith September 2, 2020 H2O Driverless AI NLP

H2O Driverless AI 1.9 vient de sortir, et je vous propose une série d’articles sur les dernières fonctionnalités innovantes de cette solution d’Automated Machine Learning, en commençant par l’implémentation de BERT pour les tâches NLP BERT, ou “Bidirectional Encoder Representations from Transformers” est considéré aujourd’hui comme l’état de l’art sur une série de tâches de traitement du langage […]

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Exploring the Next Frontier of Automatic Machine Learning with H2O Driverless AI
by Jo-Fai Chow July 28, 2020 AutoML H2O Driverless AI

At H2O.ai, it is our goal to democratize AI by bridging the gap between the State-of-the-Art (SOTA) in machine learning and a user-friendly, enterprise-ready platform. We have been working tirelessly to bring the SOTA from Kaggle competitions to our enterprise platform Driverless AI since its very first release. The growing list of Driverless AI features […]

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In a World Where… AI is an Everyday Part of Business
by Bruna Smith July 22, 2020 Company H2O Driverless AI Machine Learning Interpretability

Imagine a dramatically deep voice-over saying “In a world where…” This phrase from old movie trailers conjures up all sorts of futuristic settings, from an alien “world where the sun burns cold”, a Mad Max “world without gas” to a cyborg “world of the not too distant future”. Often the epic science fiction or futuristic […]

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On-Ramp to AI
by Bruna Smith June 11, 2020 Beginners Community H2O Driverless AI Machine Learning Makers Tutorials Uncategorized

The path to democratize AI starts with one class Artificial Intelligence (AI) is like a superhighway, it’s moving fast, evolving, and growing quickly. Like most things in life, data scientists are not born with AI and Machine Learning(ML) knowledge. They learn it. Learning is a journey.  At H2O.ai, we are on a mission to democratize AI. […]

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Machine Learning in the Age of AutoML
Machine Learning in the Age of AutoML
by Jo-fai Chow May 15, 2020 AutoML H2O Driverless AI

“Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI (Artificial Intelligence) will transform in the next several years.” : Andrew Ng Every company can be an artificial intelligence (AI) company. This article touches upon the basics of ML and […]

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Modelling Currently Infected Cases of COVID-19 Using H2O Driverless AI
by Erika Kamholz March 30, 2020 AI4Good Explainable AI GLM H2O Driverless AI Healthcare Machine Learning Machine Learning Interpretability Responsible AI Technical Time Series

In response to the wake of the pandemic called COVID-19, H2O.ai organized a panel discussion to cover AI in healthcare, and some best practices to put in place in order to achieve better outcomes. The attendees had many questions that we did not have the time to cover thoroughly throughout the course of that 1-hour […]

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Deploying Models to Maximise the Impact of Machine Learning — Part 1
by Saurabh Kumar March 29, 2020 H2O Driverless AI Machine Learning ModelOps

Introduction to the 4 key pillars of considerations for model deployment (1st part of a blog series) So you have built a machine learning (ML) model which delivers a high level of accuracy and does not overfit. What value does it have now? Well, at the moment, nothing, zero, diddly squat. There is no economic […]

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