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AI: Should you start looking for a new job?

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Manage episode 266422704 series 2696067
Content provided by Hewlett Packard Enterprise. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hewlett Packard Enterprise 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.

Is artificial intelligence really going to change the way we live and work, or are the supposed possibilities no more than seductive PR?

In this episode, alongside chief technologist Matt Armstrong-Barnes, we trace AI's technological leaps from Alan Turing to AlexNet via Dartmouth University. We map out the innovations impacting organisations right now by untangling strong and narrow AI, machine learning, deep learning, and artificial neural networks.

From cybersecurity to big data, we ponder the good, the bad, and the uncanny side of AI; how to tread the ethical tightrope; and identify implementation tactics applicable to organisations of any size.

The long show notes for this episode can be found here: https://community.hpe.com/t5/hpe-blog-uk-ireland/artificial-intelligence-should-you-start-looking-for-a-new-job/ba-p/7093591#.XzJvQChueUk

  continue reading

48 episodes

Artwork
iconShare
 
Manage episode 266422704 series 2696067
Content provided by Hewlett Packard Enterprise. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hewlett Packard Enterprise 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.

Is artificial intelligence really going to change the way we live and work, or are the supposed possibilities no more than seductive PR?

In this episode, alongside chief technologist Matt Armstrong-Barnes, we trace AI's technological leaps from Alan Turing to AlexNet via Dartmouth University. We map out the innovations impacting organisations right now by untangling strong and narrow AI, machine learning, deep learning, and artificial neural networks.

From cybersecurity to big data, we ponder the good, the bad, and the uncanny side of AI; how to tread the ethical tightrope; and identify implementation tactics applicable to organisations of any size.

The long show notes for this episode can be found here: https://community.hpe.com/t5/hpe-blog-uk-ireland/artificial-intelligence-should-you-start-looking-for-a-new-job/ba-p/7093591#.XzJvQChueUk

  continue reading

48 episodes

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