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Applications and Challenges of Autonomous AI with Kence Anderson, Director of Autonomous AI Adoption at Microsoft

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Content provided by Pavel Fakanov and Unleashing AI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Pavel Fakanov and Unleashing AI 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.
In this episode of the Unleashing AI podcast, your host Pavel Fakanov is joined by Kence Anderson, Director of Autonomous AI at Microsoft. Kence is an expert in autonomous AI and describes it as AI that senses and responds in real-time to optimize or control a process or equipment. The discussion covers multiple touchpoints, including a deep dive into what autonomous AI is, how it works, its applications, and its challenges and limitations.
Join them as they:
  • Deep dive into autonomous AI
  • Take a peek under the hood of autonomous AI
  • Review some everyday use cases
  • Discuss why autonomous AI is task-specific and not a multitasking application.

Kence Anderson is the Director of Autonomous AI at Microsoft. Kence has over 20 years of experience in the tech and AI space across tech giants like IBM and Microsoft. He has also been a successful founder. Kence describes himself as a technical translator, storyteller, and business builder. His core skill is taking new and highly promising technologies to market, which he is currently doing with Deep Reinforcement Learning and Autonomous AI.

Rate and Review the Unleashing AI podcast:

Connect with Kence Anderson:

Connect with Pavel Fakanov

If you enjoyed this episode, make sure to subscribe, rate and review it on Apple Podcasts, Spotify, and Google Podcasts; instructions on how to do this are here.
  continue reading

14 episodes

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Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on October 30, 2023 16:02 (10M ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 364330661 series 3470984
Content provided by Pavel Fakanov and Unleashing AI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Pavel Fakanov and Unleashing AI 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.
In this episode of the Unleashing AI podcast, your host Pavel Fakanov is joined by Kence Anderson, Director of Autonomous AI at Microsoft. Kence is an expert in autonomous AI and describes it as AI that senses and responds in real-time to optimize or control a process or equipment. The discussion covers multiple touchpoints, including a deep dive into what autonomous AI is, how it works, its applications, and its challenges and limitations.
Join them as they:
  • Deep dive into autonomous AI
  • Take a peek under the hood of autonomous AI
  • Review some everyday use cases
  • Discuss why autonomous AI is task-specific and not a multitasking application.

Kence Anderson is the Director of Autonomous AI at Microsoft. Kence has over 20 years of experience in the tech and AI space across tech giants like IBM and Microsoft. He has also been a successful founder. Kence describes himself as a technical translator, storyteller, and business builder. His core skill is taking new and highly promising technologies to market, which he is currently doing with Deep Reinforcement Learning and Autonomous AI.

Rate and Review the Unleashing AI podcast:

Connect with Kence Anderson:

Connect with Pavel Fakanov

If you enjoyed this episode, make sure to subscribe, rate and review it on Apple Podcasts, Spotify, and Google Podcasts; instructions on how to do this are here.
  continue reading

14 episodes

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