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Driving Responsible AI Approaches Through Executive Buy-In - with Steve Astorino of IBM

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Manage episode 416963922 series 79750
Content provided by Daniel Faggella. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Faggella 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.

Today’s guest is Steve Astorino, General Manager of Product Development, Data, AI & Sustainability and Canada Lab Director at IBM. Steve returns to the program to discuss the biggest challenges in establishing ethical AI practices from an infrastructure standpoint. Throughout the episode, He offers advice to leaders across industries for winning executive buy-in for responsible AI practices. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

  continue reading

836 episodes

Artwork
iconShare
 
Manage episode 416963922 series 79750
Content provided by Daniel Faggella. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Faggella 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.

Today’s guest is Steve Astorino, General Manager of Product Development, Data, AI & Sustainability and Canada Lab Director at IBM. Steve returns to the program to discuss the biggest challenges in establishing ethical AI practices from an infrastructure standpoint. Throughout the episode, He offers advice to leaders across industries for winning executive buy-in for responsible AI practices. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

  continue reading

836 episodes

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