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S1 : Ep2 - Ai : An Overview with Alan Pelz Sharpe of Deep-Analysis.net

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Manage episode 284731149 series 2874269
Content provided by Karn Malhotra. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Karn Malhotra 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.
Don’t know anything about Artificial Intelligence or Machine Learning? Start here. In this conversation, Alan talks to you about the broad landscape of Artificial Intelligence. How has it evolved? Why is everyone talking about it today? Will it really replace everyone? How soon? A published author with his latest book : “Practical Artificial Intelligence – An Enterprise Playbook”, Alan has seen the changing of guard between multiple technologies over the last 25+ years. So what’s similar or different between technology cycles over time? How do you know if a piece of tech is infact ‘Ai’ enabled? What is ‘explainable Ai’? Why is awareness about ‘bias’ in Ai datasets so important?
  continue reading

13 episodes

Artwork
iconShare
 
Manage episode 284731149 series 2874269
Content provided by Karn Malhotra. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Karn Malhotra 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.
Don’t know anything about Artificial Intelligence or Machine Learning? Start here. In this conversation, Alan talks to you about the broad landscape of Artificial Intelligence. How has it evolved? Why is everyone talking about it today? Will it really replace everyone? How soon? A published author with his latest book : “Practical Artificial Intelligence – An Enterprise Playbook”, Alan has seen the changing of guard between multiple technologies over the last 25+ years. So what’s similar or different between technology cycles over time? How do you know if a piece of tech is infact ‘Ai’ enabled? What is ‘explainable Ai’? Why is awareness about ‘bias’ in Ai datasets so important?
  continue reading

13 episodes

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