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How Much is My Property Worth?
by Jo-fai Chow May 12, 2021 Community Deep Learning Explainable AI H2O Open Source R

Note: this is a guest blog post by Jaafar Almusaad. How Much is My Property Worth? This is the million-dollar question – both figuratively and literally. Traditionally, qualified property valuers are tasked to answer this question. It’s a lengthy and costly process, but more critically, it’s inconsistent and largely subjective. Mind you, valuation is an […]

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Building an AI Aware Organization
by Saurabh Kumar October 26, 2020 Business Explainable AI Machine Learning Machine Learning Interpretability Responsible AI

Responsible AI is paramount when we think about models that impact humans, either directly or indirectly. All the models that are making decisions about people, be that about creditworthiness, insurance claims, HR functions, and even self-driving cars, have a huge impact on humans.  We recently hosted James Orton, Parul Pandey, and Sudalai Rajkumar for a […]

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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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From GLM to GBM – Part 2
by Patrick Moran July 9, 2020 Data Science Explainable AI GBM GLM Machine Learning Interpretability Responsible AI Shapley

How an Economics Nobel Prize could revolutionize insurance and lending Part 2: The Business Value of a Better Model Introduction In Part 1, we proposed better revenue and managing regulatory requirements with machine learning (ML). We made the first part of the argument by showing how gradient boosting machines (GBM), a type of ML, can […]

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From GLM to GBM – Part 1
by Patrick Moran June 9, 2020 Data Science Explainable AI GBM GLM Machine Learning Interpretability Responsible AI Shapley

How an Economics Nobel Prize could revolutionize insurance and lending Part 1: A New Solution to an Old Problem Introduction Insurance and credit lending are highly regulated industries that have relied heavily on mathematical modeling for decades. In order to provide explainable results for their models, data scientists and statisticians in both industries relied heavily […]

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Brief Perspective on Key Terms and Ideas in Responsible AI
by Erika Kamholz April 2, 2020 Data Science Explainable AI Machine Learning Responsible AI

INTRODUCTION As fields like explainable AI and ethical AI have continued to develop in academia and industry, we have seen a litany of new methodologies that can be applied to improve our ability to trust and understand our machine learning and deep learning models. As a result of this, we’ve seen several buzzwords emerge. In […]

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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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Insights From the New 2020 Gartner Magic Quadrant For Cloud AI Developer Services
by Erika Kamholz February 26, 2020 AutoML Cloud Explainable AI Gartner H2O H2O Driverless AI Machine Learning Machine Learning Interpretability NLP

We are excited to be named a Visionary in the new Gartner Magic Quadrant for Cloud AI Developer Services (Feb 2020), and have been recognized for both our completeness of vision and ability to execute in the emerging market for cloud-hosted artificial intelligence (AI) services for application developers. This is the second Gartner MQ that […]

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AI & ML Platforms: My Fresh Look at H2O.ai Technology
by Erika Kamholz February 25, 2020 AutoML Beginners Business Cloud Community Data Science Explainable AI Guest Posts H2O H2O Driverless AI Machine Learning NLP Open Source Recommendations Sparkling Water

2020: A new year, a new decade, and with that, I’m taking a new and deeper look at the technology H2O.ai offers for building AI and machine learning systems. I’ve been interested in H2O.ai since its early days as a company (it was 0xdata back then) in 2014. My involvement had been only peripheral, but […]

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Interview with Patrick Hall | Machine Learning, H2O.ai & Machine Learning Interpretability
by Erika Kamholz February 20, 2020 Data Science Explainable AI H2O Driverless AI Machine Learning Interpretability Makers

Audio Link: In this episode of Chai Time Data Science, Sanyam Bhutani interviews Patrick Hall, Sr. Director of Product at H2O.ai. Patrick has a background in Math and has completed a MS Course in Analytics. In this interview they talk all about Patrick’s journey into ML, ML Interpretability and his journey at H2O.ai, how his […]

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