Crunch Data Conference

What is Crunch?

Crunch is a use case heavy conference for people interested in building the finest data driven businesses. No matter the size of your venture or your job description you will find exactly what you need at Crunch Conference. Talks about data engineering, data analytics and BI will serve diverse business needs and levels of expertise.

Who is it for?

If you are a Data Engineer, Data Scientist or simply interested how to utilise data to develop your business, this conference is for you. No matter the size of your company or the volume of your data, come and learn from the Biggest players of Big Data, get inspiration from their practices, from their successes and failures and network with other professionals like you.

Questions?

DID YOU KNOW?

We organize 2 other conferences the same week as Crunch. Check out Amuse, our UX conference and Impact, our product conference and get a combined ticket for all 3 of our conferences.

Schedule

All times are in CEST

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