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Andrew Madson - Finding Actionable Insights in Complex Data

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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.

Andrew Madson is the Senior Director of Data Analytics at Arizona State University, while also serving as professor at three other universities. Andrew is a solutions-focused analyst, specializing in machine learning, statistical analysis, and data visualization. His team at ASU is working to bridge their academic research with industry for real-world impact.
In 2023, Andrew founded Insights X Design, a data analytics firm that helps businesses with user adoption, machine learning, and targeted A.I. In this conversation, we discuss the failed promise of dashboards and self-serve analytics, why it's becoming more popular to think about data as a product in itself, the trap of over-optimization, and the proper role of LLMs.

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37 episodes

Artwork
iconShare
 
Manage episode 402466119 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.

Andrew Madson is the Senior Director of Data Analytics at Arizona State University, while also serving as professor at three other universities. Andrew is a solutions-focused analyst, specializing in machine learning, statistical analysis, and data visualization. His team at ASU is working to bridge their academic research with industry for real-world impact.
In 2023, Andrew founded Insights X Design, a data analytics firm that helps businesses with user adoption, machine learning, and targeted A.I. In this conversation, we discuss the failed promise of dashboards and self-serve analytics, why it's becoming more popular to think about data as a product in itself, the trap of over-optimization, and the proper role of LLMs.

  continue reading

37 episodes

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