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#11 - Understanding AI Agents

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Manage episode 457700859 series 3607822
Content provided by Andrew Psaltis. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Andrew Psaltis 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://ppacc.player.fm/legal.

This episode of 'AI Demystified for Executives' explores the concept of AI agents, highlighting their fundamental differences from traditional chatbots and automation tools. Host Andrew Saltz describes AI agents as autonomous, decision-making software entities that can sense and respond to their environment, operate independently, and improve with experience. The episode outlines the four types of AI agents: simple reflex, model-based, learning, and goal-based, and provides real-world examples from Siemens, Oracle, and healthcare applications such as viz.ai. The strategic benefits and challenges of AI agents are discussed, emphasizing the importance of data privacy, ethical considerations, and human oversight. Frameworks for effective implementation and their potential future impact on productivity and operational efficiency are also covered.

  continue reading

13 episodes

Artwork
iconShare
 
Manage episode 457700859 series 3607822
Content provided by Andrew Psaltis. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Andrew Psaltis 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://ppacc.player.fm/legal.

This episode of 'AI Demystified for Executives' explores the concept of AI agents, highlighting their fundamental differences from traditional chatbots and automation tools. Host Andrew Saltz describes AI agents as autonomous, decision-making software entities that can sense and respond to their environment, operate independently, and improve with experience. The episode outlines the four types of AI agents: simple reflex, model-based, learning, and goal-based, and provides real-world examples from Siemens, Oracle, and healthcare applications such as viz.ai. The strategic benefits and challenges of AI agents are discussed, emphasizing the importance of data privacy, ethical considerations, and human oversight. Frameworks for effective implementation and their potential future impact on productivity and operational efficiency are also covered.

  continue reading

13 episodes

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