Companies are making the exact same mistake with AI that they made with cloud.
FICO's CIO Mike Trkay breaks down why 95% of companies are failing at AI alignment, why "automating a bad process faster" is the #1 trap, and why regulated industries are already abandoning LLMs in favor of focused language models.
 
Key takeaways:
• Only 5% of AI pilots make it to production — and MIT's research backs it up
• The lift-and-shift parallel: cloud costs went up for the same reason AI ROI is missing
• Why the LLM-to-focused-language-model shift mirrors cloud-native vs lift-and-shift
• What "AI native" actually means (and why chatbots aren't it)
 
Chapters
00:00 The 5% Alignment Problem
01:09 Only 7% Even Measure If Their AI Works
02:15 "You're Just Doing a Bad Process Faster"
06:29 LLM Repatriation and the Rise of Focused Language Models
--&nbsp;This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to <a href="meter.com/itv">meter.com/itv</a> to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at <a href="https://mission.org/">mission.org.</a> Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.

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