Welcome
Ali Ghodsi, Databricks – 0:00-4:31
Project Zen: Making Spark Pythonic
Reynold Xin, Databricks – 0:00-12:05; 18:09-19:08
Demo: Pythonic Spark with real Koalas
Caryl Yuhas, Databricks – 12:06-18:08
The Rise of the Lakehouse
Ali Ghodsi, Databricks – 0:00-15:00; 15:00-17:26; 48:07- 54:14
Discussion with Tableau Software
Francois Ajenstat – 11:00-15:00
Demo: SQL Analytics and the Lakehouse Architecture
Brooke Wenig, Databricks – 17:26-25:51
How SQL Analytics Makes Lakehouse Fast
Reynold Xin, Databricks – 25:52-47:50
Discussion with Peter Boncz
Peter Boncz, Vrije Universiteit Amsterdam – 40:04-47:50
Discussion with Unilever
Phinean Woodward – 48:07- 54:14
The Quest to Predict the Future of Medicine
Dr. Kira Radinsky, Diagnostic Robotics
Racing Robocars
Chris Anderson, 3DR
Taking Machine Learning to Production with New Features in MLflow
Matei Zaharia, Databricks – 0:06 – 18:06
Demo: CI/CD and MLOps with MLflow
Kasey Uhlenhuth, Databricks – 18:06 – 31:23
PyTorch and MLflow, from Research to Production
Lin Qiao, PyTorch, Facebook – 32:14 – 41:26
Introducing the Next Generation Data Science Workspace
Clemens Mewald, Databricks
Discussion with Daimler
Stephan Schwarz and Sebastian Findeisen
Responsible ML – Bringing Accountability to Data Science
Rohan Kumar, Microsoft – Responsible ML – 00:19 – 08:47; 18:45 – 21:16
Demo: Azure Tools for Responsible AI
Sarah Bird, Microsoft – 08:47 – 18:45
100 Year Starship – “Pursuing the Extraordinary: A Data Revolution”
Dr. Mae Jemison
Responsible AI: Evaluating Bias in AI-Predictions
Hany Farid, UC Berkeley
BuzzFeed News – “Data Journalism Through the Lens of the FinCEN Files”
Jeremy Singer-Vine
If you have questions, or would like information on sponsoring a Data + AI Summit, please contact organizers@spark-summit.org.
Apache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
