• What we'll do
This talk will walk through the important building blocks of Automated AI. Organizations are looking towards automation for building machine learning models. Rajiv will highlight several issues to consider when using automated AI. They include the tradeoffs between automation and customizability, the “accuracy” of models, the role of open source, and the importance of interpretability for models. The talk will highlight how organizations are implementing automated AI and the implications for data scientists, domain experts, and their management. The talk will end with a short demonstration of Automated AI.
Rajiv Shah is a data scientist at DataRobot, where his primary focus is helping customers improve their ability to make and implement predictions. Previously, Rajiv has been part of data science teams at Caterpillar and State Farm. He has worked on a variety of projects from a wide ranging set of areas including supply chain, sensor data, acturial ratings, and security projects. He has a PhD from the University of Illinois at Urbana-Champaign.