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Algorithm Fairness with guests Jeanette Mumbeck and Grant Gilkerson

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Manage episode 264308744 series 2706387
Content provided by Katie Baran. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Katie Baran 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.

This month’s episode of The Uplow’d is a special virtual edition. Our host Dan O’Keeffe welcomes 84.51°’s Jeanette Mumbeck and Grant Gilkerson to talk about Algorithm Fairness. We discuss the prevalence of algorithms in modern society, and how it’s actually possible for bias to enter into the results they produce. Jeanette and Grant explain the steps that 84.51° is taking to eliminate bias, and offer their suggestions for actions other data scientists can take to help promote fairness in their work.

Jeanette Mumbeck is the manager for the 84.51° Science Function – a group dedicated toward longer-term research and development. Her area covers multiple disciplines such as Forecasting, Optimization and Machine Learning, and focuses not only on scientific advances, but also scale. She has a long history with the Kroger family, playing a significant role across multiple initiatives to drive data and science decision making into businesses' processes – from warehouse and store supply chain systems to price optimization. Jeanette has over 20 years of experience in applied sciences for national and international retail. She holds a B.Sc in Computer Science, Mathematics and Applied Mathematics from the University of Stellenbosch, South Africa.

Grant Gilkerson currently leads a team of more than 20 data scientists who deliver recommender systems and customer insights to Kroger’s e-commerce business. He joined the company in 2012 within the Communications and Media practice, before transitioning to data science lead for the Kroger Customer Knowledge team prior to his current role. Grant has more than 20 years of experience developing impactful solutions across multiple industries that deliver outcomes that make a positive impact on business and customers. Grant holds an M.S. in Economics from the University of Kentucky.

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24 episodes

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iconShare
 

Archived series ("Inactive feed" status)

When? This feed was archived on September 30, 2023 10:07 (7M ago). Last successful fetch was on December 02, 2022 12:48 (1+ y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 264308744 series 2706387
Content provided by Katie Baran. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Katie Baran 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.

This month’s episode of The Uplow’d is a special virtual edition. Our host Dan O’Keeffe welcomes 84.51°’s Jeanette Mumbeck and Grant Gilkerson to talk about Algorithm Fairness. We discuss the prevalence of algorithms in modern society, and how it’s actually possible for bias to enter into the results they produce. Jeanette and Grant explain the steps that 84.51° is taking to eliminate bias, and offer their suggestions for actions other data scientists can take to help promote fairness in their work.

Jeanette Mumbeck is the manager for the 84.51° Science Function – a group dedicated toward longer-term research and development. Her area covers multiple disciplines such as Forecasting, Optimization and Machine Learning, and focuses not only on scientific advances, but also scale. She has a long history with the Kroger family, playing a significant role across multiple initiatives to drive data and science decision making into businesses' processes – from warehouse and store supply chain systems to price optimization. Jeanette has over 20 years of experience in applied sciences for national and international retail. She holds a B.Sc in Computer Science, Mathematics and Applied Mathematics from the University of Stellenbosch, South Africa.

Grant Gilkerson currently leads a team of more than 20 data scientists who deliver recommender systems and customer insights to Kroger’s e-commerce business. He joined the company in 2012 within the Communications and Media practice, before transitioning to data science lead for the Kroger Customer Knowledge team prior to his current role. Grant has more than 20 years of experience developing impactful solutions across multiple industries that deliver outcomes that make a positive impact on business and customers. Grant holds an M.S. in Economics from the University of Kentucky.

  continue reading

24 episodes

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