H2O.ai – Democratizing Artificial Intelligence for everyone

AI and software intelligence tools aim to make software development easier and more reliable. According to a Forrester Research report on AI's impact on software development, automated testing and bug detection tools use AI the most to improve software development

H2O.ai is a visionary Silicon Valley open-source software company that created and reimagined what is possible. It is a company of makers that brought to market new platforms and technologies to drive the AI movement and they are the makers of, H2O, the leading open-source data science and machine learning platform used by nearly half of the Fortune 500 and trusted by over 18,000 organizations and hundreds of thousands of data scientists around the world.

Primary objective

The firm’s mission is to democratize AI for everyone. All of the software and hardware will be transformed with AI. AI positively impacts people, businesses, and organizations globally. Every industry stands to win and the benefits are universal.

Perception

The vision of H2o.ai is to democratize AI for everyone. Not just a select few. The firm enables this with itsaward-winning, H2O Driverless AI, the platform that uses AI to do AI to make it easier, faster, and cheaper to deliver expert data science as a force multiplier for every enterprise. The company wants everyone to explore, learn, dream, and imagine a new future.

Products from H2O.ai that accelerates AI strategy

H2O: Number one open-source machine learning platform for the enterprise

H2O is a fully open-source, distributed in-memory machine learning platform with linear scalability. H2O supports the most widely used statistical & machine learning algorithms including gradient boosted machines, generalized linear models, deep learning and more. H2O also has an industry-leading AutoML functionality that automatically runs through all the algorithms and their hyperparameters to produce a leaderboard of the best models.

H2O Sparkling Water: The Best Machine Learning on Spark

Sparkling Water allows users to combine the fast, scalable machine learning algorithms of H2O with the capabilities of Spark. Spark is an elegant and powerful general-purpose, open-source, an in-memory platform with tremendous momentum. H2O is an in-memory platform for machine learning that is reshaping how people apply math and predictive analytics to their business problems. Integrating these two open-source environments provides a seamless experience for users who want to make a query using Spark SQL, feed the results into H2O to build a model and make predictions, and then use the results again in Spark.

H2O Driverless AI: An award-winning automatic machine learning platform

H2O Driverless AI empowers data scientists to work on projects faster and more efficiently by using automation to accomplish key machine learning tasks in just minutes or hours, not months. By delivering automatic feature engineering, model validation, model tuning, model selection & deployment, machine learning interpretability, bring your own recipe, time-series, and automatic pipeline generation for model scoring. H2O Driverless AI provides companies with an extensible customizable data science platform that addresses the needs of a variety of use cases for every enterprise in every industry.

H2O.ai in the Cloud

The Cloud is democratizing data science capabilities at scale. H2O’s cloud and driverless AI will supercharge AI applications.

Striking features

• Native In-Cloud Model Deployment and Scoring
• Flexible and Portable Models
• Seamless Model Monitoring, Management, Training and Interpretation
• Highly Available, Performant, Scalable & Governed

The formidable leader behind the success of H2O.ai

Sri Ambati is the Founder and also serves as the Chief Executive Officer of H2O.ai – the maker behind H2O, the leading open-source machine learning platform used by 18,000 companies and hundreds of thousands of data scientists. Prior to H2O.ai, he co-founded the big data analytics company Platfora. His professional career also spans technical and executive roles at Datastax, Azul Systems, and the right order. His academic career involved sabbaticals in theoretical neuroscience at Stanford and Berkeley and an M.S. in math and computer science from the University of Memphis. He was recently recognized by Datanami as one of the 12 People to Watch 2019. Sri is known for his knack for envisioning the killer apps in fast evolving spaces and assembling stellar teams towards productizing that vision.

“Our philosophy is to create a culture of makers: community, customers, partners, entrepreneurs, and our own makers gonna make.”