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Introducing the H2O.ai Wildfire Challenge
by Jo-fai Chow November 5, 2021 AI4Good H2O AI Cloud Wave

We are excited to announce our first AI competition for good – H2O.ai Wildfire Challenge. We’ve structured this challenge to be a global collaborative effort to do good for the world that we share. We want teams to submit their ideas and applications freely, knowing that other teams will learn from what they’ve done to improve […]

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Lessons of COVID-19 and Moving Forward: Key Takeaways
by Bruna Smith May 1, 2020 AI4Good Community Company Data Science

This week, we hosted our second virtual panel focused on how AI can empower healthcare organizations to make better decisions and save lives. Improved forecasting and predictions lead to higher chances in managing and mitigating adverse events, such as the COVID-19 pandemic. I’m proud to acknowledge that H2O.ai is committed to helping customers and researchers […]

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Three Ways Data and AI is Helping Against COVID19
by Erika Kamholz April 1, 2020 AI4Good Data Science Healthcare Machine Learning

We are in the midst of a global crisis that epidemiologists have warned us about. As of today, 180 countries and sovereign regions have confirmed cases of patients infected with COVID19 (from here). Putting aside evidence that indicates the virulence of the disease could be much worse, the fast spread of the virus and the […]

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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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Igniting the AI in Healthcare Community
by Patrick Moran March 28, 2020 AI4Good Community Data Science Healthcare

Yesterday we held our first Community Discussion on AI in Healthcare. Our CEO and founder, Sri Ambati led the discussion between Niki Athanasiadou, Marios Michailidis, one of our Grandmasters, and myself. We had nearly 1,300 participants registered from over 45 countries, and over half of those joined live others are viewing the replay. Many were […]

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COVID-19: Doing Good with Data + AI
by Erika Kamholz March 26, 2020 AI4Good Data Science Healthcare Machine Learning Time Series

During times of severe societal strain, individuals have historically shown an inclination to offer aid and assistance. Often these sacrifices have been at great cost to life or livelihood. In other cases, the efforts have been seemingly more mundane but nevertheless still essential. The efforts of the over 10,000 women code breakers of World War […]

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Patient Healthcare
How H2O.ai is Reinventing Healthcare with AI
by Saurabh Kumar March 23, 2020 AI4Good Data Science Healthcare

H2O.ai is hosting a virtual Meetup on AI and Healthcare: Best Practices for Better Outcomes. Join us on 26th March, for a community discussion to collaborate with us and leading healthcare organizations to share ideas and best practices including predicting hospital staffing needs, ICU transfers, as well as sepsis detection and more. Register for the […]

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It is a privilege to serve the world in its hour of need – H2O.ai response to the COVID-19 pandemic
by Erika Kamholz March 19, 2020 AI4Good Community Data Science Healthcare Machine Learning

During the COVID-19 pandemic, our world, our nations, states, counties, cities and communities face an unprecedented challenge with an urgent need to help our citizens and ultimately our national and global economy. At highest risk are senior citizens, at-risk populations (individuals with immunodeficiency, hypertension, diabetes) and our critical frontline healthcare workforce. The need of the […]

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Health Outcomes and the Miracle of Data
by Erika Kamholz March 16, 2020 AI4Good Healthcare Machine Learning

In 1846, a physician named Ignatz Semmelweis, located at the Allgemeine Krankenhaus in Vienna, faced a dire healthcare crisis. He observed that the maternity ward in his own hospital (as well as those in other area hospitals) had a maternal mortality rate of over 15%. That is, one out of every six mothers who came […]

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