Executive Summary 

Artificial Intelligence (AI) is a must-have for every organization today. Whether it is predicting equipment failure, preventing diseases before an outbreak, building anti-money laundering solutions to prevent financial fraud or any number of use-cases, they all require deploying advanced machine learning (ML). AI is instrumental in improving the internal business processes for enterprises as well as in delivering better products and services to their customers. With new machine learning (ML) and Artificial Intelligence (AI) technologies available, every company, large or small, has a lot to be excited about. H2O.ai, the open source leader in AI and machine learning, is empowering every company to be an AI company. H2O Driverless AI platform makes it faster, cheaper and easier to scale ML models to find answers to every business question imaginable.

AI is Expanding the Opportunities for Enterprises 

Build products based on AI – Enterprises are increasingly building products based on AI by understanding customer behavior, product usage statistics, supply chain, buying patterns, demographic data and weather information.

Save time, save money – With new AI technologies at their disposal, companies are finding new ways to optimize their business processes, automate mundane tasks, mitigate financial risks and adhere to strict regulatory compliance.

Create new revenue opportunities – Companies are finding new AI-driven ways to increase sales, target consumers, diversify revenue opportunities, and improve product yield.

Why H2O.ai – AI to do AI

H2O.ai offers an award-winning automatic machine learning platform in Driverless AI and has been recognized as an industry leader in the Forrester New WaveTM: Automation-Focused Machine Learning Solutions, Q2 2019. H2O, open source, is already being used by hundreds of thousands of data scientists and is deployed at over 18,000 organizations across nearly every industry.

H2O Driverless AI empowers data scientists, data engineers, mathematicians, statisticians and domain scientists to work on projects faster and more efficiently by using automation to accomplish tasks that can take months and can now be reduced to hours or minutes by delivering automatic feature engineering, model validation, model tuning, model selection and deployment, machine learning interpretability, time-series, NLP, automatic pipeline generation for model scoring and automatic documentation with reason codes, and now bring your own recipes and model operations and administration.

The new innovations and capabilities will enable customers to accelerate their AI transformations across every industry.

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