DATA + AI SUMMIT 2020
Keynotes

Data Teams Unite!

Welcome
Ali Ghodsi, Databricks – 0:00-4:31

Project Zen: Making Spark Pythonic

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

SQL Analytics and the Lakehouse Architecture

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

The Quest to Predict the Future of Medicine
Dr. Kira Radinsky, Diagnostic Robotics

Racing Robocars

Racing Robocars
Chris Anderson, 3DR

Taking Machine Learning to Production with New Features in MLflow

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

Introducing the Next Generation Data Science Workspace
Clemens Mewald, Databricks

Discussion with Daimler

Discussion with Daimler
Stephan Schwarz and Sebastian Findeisen

Responsible ML – Bringing Accountability to Data Science

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"

100 Year Starship – “Pursuing the Extraordinary: A Data Revolution”
Dr. Mae Jemison

Responsible AI: Evaluating Bias in AI-Predictions

Responsible AI: Evaluating Bias in AI-Predictions
Hany Farid, UC Berkeley

BuzzFeed News - "Data Journalism Through the Lens of the FinCEN Files"

BuzzFeed News – “Data Journalism Through the Lens of the FinCEN Files”
Jeremy Singer-Vine