Series C round led by Wells Fargo and NVIDIA MOUNTAIN VIEW, CA – November 30, 2017 – H2O.ai, the leading company bringing AI to enterprises, today announced it has completed a $40 million Series C round of funding led by Wells Fargo and NVIDIA with participation from New York Life, Crane Venture Partners, Nexus Venture […]

The Forrester Wave: Notebook-Based Predictive Analytics and Machine Learning Solutions, Q3 2018 is out, and H2O.ai is a Strong Performer! The report looks at machine learning platforms centered on R and Python languages using notebooks like Jupyter and Zeppelin. Vendors are evaluated along three dimensions including market presence, current offering, and overall strategy. Here are […]

Over the last several years, machine learning has become an integral part of many organizations’ decision-making at various levels. With not enough data scientists to fill the increasing demand for data-driven business processes, H2O.ai has developed a product called Driverless AI that automates several time consuming aspects of a typical data science workflow: data visualization, […]

Excited to announce our strategic partnership with IBM that allows them to resell and take to market H2O Driverless AI to businesses worldwide. This partnership makes AI economical – faster, cheaper and easier to do experiments. H2O Driverless AI and IBM POWER9 GPU Systems are bringing together the best of breed AI innovation. We have […]

  The new H2O release 3.10.5.1 brings a shiny new feature – integration of the powerful XGBoost library algorithm into H2O Machine Learning Platform! XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible, and portable. XGBoost provides parallel tree boosting (also known as GBDT, GBM) that solves many data science […]

  The latest H2O release, 3.10.5.1, introduced several new concepts to improve extensibility and modularity of the H2O machine learning platform. This blog post will clarify motivation, explain design decisions we made, and demonstrate the overall approach for this release. Motivation The H2O Machine Learning platform was designed as a monolith application. However, a growing […]

It’s been a dark year in many ways, so we wanted to lighten things up and celebrate Diwali — the festival of lights! Diwali is a holiday that celebrates joy, hope, knowledge and all that is full of light — the perfect antidote for some of the more negative developments coming out of the Silicon […]

Sparkling Water offers the best of breed machine learning for Spark users. Sparkling Water brings all of H2O’s advanced algorithms and capabilities to Spark. This means that you can continue to use H2O from Rstudio or any other ide of your choice. This post will walk you through the steps to get running on plain […]

H2O.ai – Road Ahead – keynote presentation by Sri Ambati from Sri Ambati