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Poster
in
Workshop: Table Representation Learning

The Need for Tabular Representation Learning: An Industry Perspective

Joyce Cahoon · Alexandra Savelieva · Andreas Mueller · Avrilia Floratou · Carlo Curino · Hiren Patel · Jordan Henkel · Markus Weimer · Roman Batoukov · Shaleen Deep · Venkatesh Emani · Richard Wydrowski · Nellie Gustafsson

Keywords: [ Table Representation Learning ]


Abstract: The total addressable market for data and intelligence applications has been estimated at \$70B. This includes the \$11B market for data integration, which is estimated to grow at 25\% in the coming year; \$35B market for analytics, growing at 11\%; and \$19B market for business intelligence, growing at 8\%. Given this data-driven future and the scale at which Microsoft operates (serving over 300K organizations with 50M+ end users), we leverage telemetry across our external and internal cloud and platform services (e.g., Azure, Microsoft 365, Visual Studio, etc.) to gain an understanding of our customer workloads and their constraints at play.

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