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Tuesday, October 16 • 2:00pm - 2:20pm
How to Go From Data Science to Data Operations

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According to Google developers, "Only a small fraction of real-world ML systems are composed of the ML code. The required surrounding infrastructure is vast and complex."  By focusing on DataOps your teams will be able to deliver faster, with higher quality, using the tools that they love. The topics covered will include:
  • Data science challenges and DataOps definitions.
  • The four As of DataOps
    • Automate and monitor pipelines
    • Automate deployments
    • Automate and monitor quality
    • Automate sandboxes

avatar for Gil Benghiat

Gil Benghiat

Founder, VP Products, DataKitchen
Gil Benghiat, co-founder of DataKitchen, a company on a mission to enable analytic teams to deliver value quickly and with high quality using the tools they love. Gil's‚ career has always been data-oriented starting with network data at AT&T Bell Laboratories, any data at Sybase... Read More →

Tuesday October 16, 2018 2:00pm - 2:20pm EDT
Deborah Sampson