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Pega’s Alan Trefler: Why most AI projects fail | Ep. 246

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Manage episode 506738123 series 3335763
Content provided by Foundry. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Foundry 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://podcastplayer.com/legal.

Artificial intelligence is powerful, but are businesses using it the wrong way? In this episode of Today in Tech, host Keith Shaw sits down with Alan Trefler, Founder and CEO of Pega, to discuss why so many AI projects are failing and how companies can still unlock real value from generative AI and agentic AI.

Alan shares why organizations confuse design-time AI (for creativity and planning) with run-time AI (for execution and reliability), and why that mistake leads to unscalable, risky, and sometimes embarrassing outcomes. From failed AI pilots to the hype around agents, Alan breaks down:

Why at least 40% of AI projects fail

The dangers of running your business on “prompts”

The three categories of AI every business leader must understand

How workflows, not prompts, create predictability and trust

The future of agentic AI, and how to avoid repeating today’s mistakes

  continue reading

512 episodes

Artwork
iconShare
 
Manage episode 506738123 series 3335763
Content provided by Foundry. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Foundry 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://podcastplayer.com/legal.

Artificial intelligence is powerful, but are businesses using it the wrong way? In this episode of Today in Tech, host Keith Shaw sits down with Alan Trefler, Founder and CEO of Pega, to discuss why so many AI projects are failing and how companies can still unlock real value from generative AI and agentic AI.

Alan shares why organizations confuse design-time AI (for creativity and planning) with run-time AI (for execution and reliability), and why that mistake leads to unscalable, risky, and sometimes embarrassing outcomes. From failed AI pilots to the hype around agents, Alan breaks down:

Why at least 40% of AI projects fail

The dangers of running your business on “prompts”

The three categories of AI every business leader must understand

How workflows, not prompts, create predictability and trust

The future of agentic AI, and how to avoid repeating today’s mistakes

  continue reading

512 episodes

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