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.
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.
Drop us a line at [email protected]
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.
This schedule may be subject to change.
| 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
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| 14:55 - 15:00 | Mini break | ||
| 15:00 - 15:45 |
Jeffrey Theobald: MY AWFUL EX-DATASYSTEMS
Main stage
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| 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
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| 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
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| 17:10 - 17:55 |
Emilie Schario: BREAKING YOUR DATA TEAM OUT OF THE SERVICE TRAP
Main stage
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| 17:55 - 18:15 | Break | ||
| 18:15 - 19:00 |
Jordan Tigani: KEEPING UP IN A DATA-INTENSIVE WORLD WITH SINGLESTORE
Main stage
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| 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
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| 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
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| 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
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| 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
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Grant Steward: OPERATIONALIZE THE DATA CATALOG
Pink stage
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| 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
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| 19:00 - 19:05 | Closing | ||
Questions? Drop us a line at [email protected]
