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The Cost of Scaling GenAI—and the Search for Smarter Models

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Manage episode 501186658 series 3503348
Content provided by HT Smartcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HT Smartcast 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.

Enterprises are rethinking their AI strategies. Instead of billion-dollar moonshots, they’re betting on micro transformations—smaller, high-value projects that deliver quick wins while laying the groundwork for governance, security, and scalable AI adoption.

In this episode, we unpack the realities of enterprise AI adoption: why so many projects fail, the challenges of scaling GenAI when costs rise instead of fall, and how industries like banking, manufacturing, and healthcare are finding ROI in targeted use cases.

We also explore the guardrails enterprises are building—compliance, auditability, and security—and the shift towards efficient models that could democratize AI. Plus, a sharp look at OpenAI’s expansion into consulting, browsers, and hardware—is it a competitive advantage or a dilution of focus?

This episode brings clarity to the noise, spotlighting what’s working, what’s failing, and where enterprise AI is headed next.

  continue reading

68 episodes

Artwork
iconShare
 
Manage episode 501186658 series 3503348
Content provided by HT Smartcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HT Smartcast 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.

Enterprises are rethinking their AI strategies. Instead of billion-dollar moonshots, they’re betting on micro transformations—smaller, high-value projects that deliver quick wins while laying the groundwork for governance, security, and scalable AI adoption.

In this episode, we unpack the realities of enterprise AI adoption: why so many projects fail, the challenges of scaling GenAI when costs rise instead of fall, and how industries like banking, manufacturing, and healthcare are finding ROI in targeted use cases.

We also explore the guardrails enterprises are building—compliance, auditability, and security—and the shift towards efficient models that could democratize AI. Plus, a sharp look at OpenAI’s expansion into consulting, browsers, and hardware—is it a competitive advantage or a dilution of focus?

This episode brings clarity to the noise, spotlighting what’s working, what’s failing, and where enterprise AI is headed next.

  continue reading

68 episodes

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