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Nancy Hensley: Talking Women's Sports, Data, and the Future of Sports Analytics

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Manage episode 398086889 series 3450846
Content provided by Gemini. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Gemini or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Nancy Hensley is a powerhouse in the sports industry and data-driven technology. After serving as the Chief Digital Officer for IBM's Data and AI division, she revolutionized the AI product offerings at Stats Perform, before going on to co-found women's soccer conglomerate Mercury 13.
In this episode, Nancy talks about what it takes to be a part of a data company in the sports world and what makes that industry unique. Nancy also shares her thoughts on how to best integrate AI into product offerings and where the sports analytics world is heading in the near future.

  continue reading

37 episodes

Artwork
iconShare
 
Manage episode 398086889 series 3450846
Content provided by Gemini. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Gemini or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Nancy Hensley is a powerhouse in the sports industry and data-driven technology. After serving as the Chief Digital Officer for IBM's Data and AI division, she revolutionized the AI product offerings at Stats Perform, before going on to co-found women's soccer conglomerate Mercury 13.
In this episode, Nancy talks about what it takes to be a part of a data company in the sports world and what makes that industry unique. Nancy also shares her thoughts on how to best integrate AI into product offerings and where the sports analytics world is heading in the near future.

  continue reading

37 episodes

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