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Coffee Chat: Model Interpretability And How To Create Trust In AI Products

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Manage episode 326800672 series 2632853
Content provided by Data Science Salon and Dat Science Salon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data Science Salon and Dat Science Salon 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://ro.player.fm/legal.
This episode is a recording of the panel conversation at the virtual Data Science Salon in April 2022, which focused on AI & machine learning applications in the enterprise. Charles Irizarry (CEO & Co-Founder at Strata.ai) had the chance to talk to Amarita Natt (Managing Director, Data Science at Econ One Research), Preethi Raghavan (VP, Data Science Practice Lead at Fidelity Investments) and Serg Masís (Climate and Agronomic Data Scientist at Syngenta) about the important topic of model interpretability and how to create trust in AI products.
  continue reading

34 episoade

Artwork
iconDistribuie
 
Manage episode 326800672 series 2632853
Content provided by Data Science Salon and Dat Science Salon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data Science Salon and Dat Science Salon 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://ro.player.fm/legal.
This episode is a recording of the panel conversation at the virtual Data Science Salon in April 2022, which focused on AI & machine learning applications in the enterprise. Charles Irizarry (CEO & Co-Founder at Strata.ai) had the chance to talk to Amarita Natt (Managing Director, Data Science at Econ One Research), Preethi Raghavan (VP, Data Science Practice Lead at Fidelity Investments) and Serg Masís (Climate and Agronomic Data Scientist at Syngenta) about the important topic of model interpretability and how to create trust in AI products.
  continue reading

34 episoade

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