Many companies are adopting a modern data stack centered around cloud data warehouses as the basis for operationalizing analytic use cases at scale. Despite its success, there remains a gap around AI tooling, which prevents companies from getting the most value out of their data. In this talk we’ll describe the modern data stack, why traditional ML platforms fail to meet design and user experience requirements of the modern data stack, and how a new generation of ML platforms based on a data-first, declarative design can make AI on the modern data stack a reality.
Session Summary
Declarative AI for the Modern Data Stack
MLconf Online 2021
Jordan Volz
Continual
Director of Field Engineering
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