Learn How to Easily Use AI Against Your Production Database

Presented by

Eric Gudgion, H2O.ai

About this talk

H2O Driverless AI is an award-winning automatic machine learning platform. With Driverless AI, everyone including expert and junior data scientists, domain scientists, and data engineers can develop trusted machine learning models. Once Driverless AI models are created, they often are used in production for scoring against production data and this data usually resides in a Database. How can we deploy a model to score against the database as a batch operation, reading millions to rows and making predictions in a scalable way? Join us on Tuesday, September 10th, to learn how to easily use AI against your production database. In this webinar we will learn how to use Driverless AI to use data within the database to create a model and then how to use standalone scorers to make predictions using the model and update the database. Eric's bio: Eric is a Senior Principal Solutions Architect, he is passionate about performance and scalability. Eric’s role enables him to help customers adopt h2o within their enterprises.

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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.