Advertisement

H2O.ai’s Full Suite of AI Platforms Now Available in the Microsoft Azure Marketplace

By on

According to a new press release, “H2O.ai, the open source leader in artificial intelligence, today announced the availability of its full suite of products – including open source platforms H2O, Sparkling Water and the award-winning automatic machine learning platform, H2O Driverless AI in Microsoft Azure Marketplace, the online store providing applications and services for use on Microsoft Azure. H2O.ai customers can now take advantage of the scalability, high availability, and security of Azure, with streamlined deployment and management. H2O.ai makes it simple for any organization to make smarter business decisions using artificial intelligence. ‘The winning combination of H2O.ai best-in-class products with Microsoft Azure private and public cloud infrastructure makes it faster, cheaper and easier to monetize data for enterprises. With H2O and Driverless AI in the Microsoft Azure Marketplace we bring powerful AI capabilities to the fingertips of data science and machine learning teams worldwide,’ said Sri Ambati, CEO and founder of H2O.ai.”

The release continues, “Used by over 14,000 organizations globally, H2O is a fully open-source, distributed in-memory machine learning platform with linear scalability. The platform supports the most widely used statistical and machine learning algorithms and has an AutoML functionality that automatically runs through all the algorithms and their hyperparameters to produce a leaderboard of the best models. H2O Driverless AI employs the techniques of expert data scientists in an easy-to-use platform that empowers data scientists to work on projects faster using automation and state-of-the-art computing power from GPUs to accomplish tasks in minutes instead of months. The platform delivers automatic feature engineering, model validation, model tuning, model selection and deployment, machine learning interpretability, time-series, NLP, and automatic pipeline generation for model scoring.”

Read more at PR Newswire.

Image used under license from Shutterstock.com

Leave a Reply