Getting the Most Out of Your Machine Learning with Model Ops

Presented by

Dan Darnell, VP of Product Marketing at H2O.ai

About this talk

Machine learning models can now be quickly built using automatic machine learning technology. However, they are not generating economic value faster enough. This is due to deficiencies in the model deployment process. Join Dan Darnell, VP of Product Marketing at H2O.ai, on June 18th at 11am PT to understand more about these challenges and how Model Ops creates a set of practices that will allow your AI projects to scale, govern and generate value quickly.

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H2O.ai is the maker of H2O, the world's best machine learning platform and Driverless AI, which automates machine learning. H2O is used by over 200,000 data scientists and more than 18,000 organizations globally. H2O Driverless AI does auto feature engineering and can achieve 40x speed-ups on GPUs.