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Tea and Tech Season 3 ~ Episode 30

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Manage episode 491974099 series 2874139
Content provided by Technology and society talks in the time it takes to have a cup of tea and Society talks in the time it takes to have a cup of tea. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Technology and society talks in the time it takes to have a cup of tea and Society talks in the time it takes to have a cup of tea 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.

Traditional AI—what most businesses use today—is reactive. It waits for a prompt. You give it data, it gives you a result. Think of chatbots, search engines, or recommendation systems.

Agentic AI, by contrast, is goal-driven and autonomous.

Agentic systems;

Interpret high-level objectives,

  • Break them down into actionable steps,
  • Execute those steps using tools, APIs, or other systems,
  • Adapt along the way if they encounter obstacles.

This means you’re not just telling software what to do—you’re telling it what you want, and it figures out the how.

  continue reading

10 episodes

Artwork
iconShare
 
Manage episode 491974099 series 2874139
Content provided by Technology and society talks in the time it takes to have a cup of tea and Society talks in the time it takes to have a cup of tea. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Technology and society talks in the time it takes to have a cup of tea and Society talks in the time it takes to have a cup of tea 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.

Traditional AI—what most businesses use today—is reactive. It waits for a prompt. You give it data, it gives you a result. Think of chatbots, search engines, or recommendation systems.

Agentic AI, by contrast, is goal-driven and autonomous.

Agentic systems;

Interpret high-level objectives,

  • Break them down into actionable steps,
  • Execute those steps using tools, APIs, or other systems,
  • Adapt along the way if they encounter obstacles.

This means you’re not just telling software what to do—you’re telling it what you want, and it figures out the how.

  continue reading

10 episodes

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