In this session, the Databricks product team provides a deeper dive into the machine learning announcements. Join us for a detailed demo that gives you insights into the latest innovations that simplify the ML lifecycle — from preparing data, discovering features, and training and managing models in production.
Clemens Mewald leads the product team for Machine Learning and Data Science at Databricks. Previously, he spent four years on the Google Brain team building AI infrastructure for Alphabet, where his product portfolio included TensorFlow and TensorFlow Extended (TFX). Clemens holds an MSc in computer science from UAS Wiener Neustadt, Austria, and an MBA from MIT Sloan.
Kasey Uhlenhuth is a product manager on the machine learning team at Databricks. Before Databricks, she worked on the Visual Studio and C# team at Microsoft building developer productivity tools. Kasey holds an MBA from the Stanford Graduate School of Business and a BA in Computer Science from Harvard University.