Crunch Data Conference

This schedule may be subject to change.

October 7 October 8

	Main stage	Breakout rooms
13:40 - 14:00	Welcome & Intro
14:00 - 14:55	Rich Caruana: INTERPRETABLE AND DIFFERENTIALLY PRIVATE MACHINE LEARNING: DON’T PRACTICE DATA SCIENCE IN HEALTHCARE WITHOUT IT Main stage
14:55 - 15:00	Mini break
15:00 - 15:45	Jeffrey Theobald: MY AWFUL EX-DATASYSTEMS Main stage
15:45 - 16:00	Break	Francesca Lazzeri & Dmitry Soshnikov: How Machine Learning and AI Can Support the Fight Against COVID-19
16:00 - 16:45	Péter Vidos: TOWARDS THE GRAMMAR OF ANIMATION Main stage
16:45 - 16:50	Mini Break	Egor Kraev: Modelling and predicting customer lifetime value
16:50 - 17:10	András István Nagy: FINDING BAD BEES IN THE HIVE Main stage
17:10 - 17:55	Emilie Schario: BREAKING YOUR DATA TEAM OUT OF THE SERVICE TRAP Main stage
17:55 - 18:15	Break
18:15 - 19:00	Jordan Tigani: KEEPING UP IN A DATA-INTENSIVE WORLD WITH SINGLESTORE Main stage
19:00 - 19:05	Closing

	Main Stage	Pink stage	Breakout rooms
13:40 - 13:55	Welcome & Intro
13:55 - 14:50	Ananth Packkildurai: BACK TO THE FUTURE: EMERGING TRENDS IN DATA ENGINEERING Main stage
14:50 - 15:00	Short break
15:00 - 15:45	Jeremy Cohen: THE ROAD TO DBT V1.0 Main stage	Chloe Goh: DATA SCIENTISTS AT FB AND HOW WE DRIVE PRODUCT DECISIONS Pink stage
15:45 - 16:05	Break
16:05 - 16:50	Bas Geerdink: THE STATE OF MLOPS - MACHINE LEARNING IN PRODUCTION AT ENTERPRISE SCALE Main stage	Ridzi Péter: RIGHT DATA AT THE RIGHT TIME: FUELING CNN DEVELOPMENT WITH DATASET ENGINEERING Pink stage
16:50 - 17:10	Break		Csongor Szántó: RIGHT DATA AT THE RIGHT TIME: TOOLS DEMO
17:10 - 17:55	Neha Pawar: USER-FACING, REALTIME ANALYTICS USING APACHE PINOT Main stage	Grant Steward: OPERATIONALIZE THE DATA CATALOG Pink stage	Csongor Szántó: RIGHT DATA AT THE RIGHT TIME: TOOLS DEMO
17:55 - 18:15	Break with raffle
18:15 - 19:00	Nuria Ruiz: WIKIPEDIA'S LEAN DATA DIET AND LESSONS LEARNED Main stage	Dániel Antal: THE NEW GOLD WITHOUT THE RUSH Pink stage
19:00 - 19:05	Closing