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 […]

Adam Janofsky at the Wall Street Journal wrote a wonderful article about our company, and our eloquent and philosophical CEO and Founder, Sri Ambati. The makers at H2O.ai believe deeply in our mission to democratize AI for everyone, and we can see a future where every company can be an AI company. Read more below, […]

This is a guest post from our friends at Kensu. In the space of Data Science development in enterprises, two outstanding scalable technologies are Spark and H2O. Spark is a generic distributed computing framework and H2O is a very performant scalable platform for AI. Their complementarity is best exploited with the use of Sparkling Water. […]

This is a guest post re-published with permission from our friends at Datapipe. The original lives here. One of the advantages of public cloud is the ability to experiment and run various workloads without the need to commit to purchasing hardware. However, to meet your data processing needs, a well-defined mapping between your objectives and […]

Data Science is like Rome, and all roads lead to Rome. H2O WORLD is the crossroad, pulling in a confluence of math, statistics, science and computer science and incorporating all avenues of business. From the academic, research oriented models to the business and computer science analytics implementations of those ideas, H2O WORLD informs attendees on […]

  This blog was originally posted here I created this guide to help fellow newbies get their feet wet with H2O, an open-source predictive analytics platform that is fast, powerful, and easy to use. Using a combination of extraordinary math and high-performance parallel processing, H2O allows you to quickly create models for big data. The […]