AI News, AI startup H2O.ai launches Driverless AI, an automated machine learning platform

AI startup H2O.ai launches Driverless AI, an automated machine learning platform

The data science and machine learning software landscape is changing.

Today, H2O.ai announced a new release of its award-winning automated machine learning platform Driverless AI. The latest innovations in Driverless AI include accelerated automatic pipelines of feature engineering and machine learning to generate highly optimized, low-latency production-ready code for deployment on the edge.

This is ideal for enterprises that need to deploy low-latency scoring engines that can deliver submillisecond inferencing for real-time applications to a range of devices.

at over 5,000 organizations and our customers include the likes of Cisco, PayPal and Progressive. H2O.ai also partners with leading technology companies such as NVIDIA, IBM, AWS, Azure and Google and is proud of its growing customer base, which includes Capital One, Progressive Insurance, Comcast, Walgreens and Kaiser Permanente.

H2O.ai recently launched Driverless AI that uses AI to do AI in order to provide an easier, faster and cheaper means of implementing data science. In February 2018, Gartner named H2O.ai as a Leader in the 2018 Magic Quadrant for Data Science and Machine Learning Platforms.

Driverless AI combines open source frameworks with the power of GPUs to create an extensible platform to build data science recipes that solve an entire class of problems for the industry.

Driverless AI automates some of the most difficult data science and machine learning workflows such as feature engineering, model validation, model tuning, model selection and model deployment.

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