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Gartner expects forty percent of agentic AI projects to be canceled by the end of 2027, and the companies bucking that trend aren't the ones giving their agents the most freedom. They're the ones narrowing it. This week: seven diagnostic signs your data isn't AI-ready, straight from practitioners at Capital One and EY. Thomson Reuters' forty-million-dollar bet on its own legal AI model, and the honest limits the company admits sit underneath it. How Cloudflare turned its engineering standards into a system that's already flagged 230,000 violations. And the research explaining why narrow scope, pre-execution checkpoints, and real traceability, not more autonomy, are what separate a surviving AI deployment from a canceled one.
Voices in this episode are digitally rendered.
If you're building or scaling AI infrastructure and want to work through a delivery or governance bottleneck, book a call at https://calendar.app.google/YH7SA6Rrs3CbZRaw5, message Vladimir Cvijanovic on LinkedIn (https://www.linkedin.com/in/vladimircvijanovic/), or reach us at podcast@c42.services.
Voices in this episode are digitally rendered.
If you're building or scaling AI infrastructure and want to work through a delivery or governance bottleneck, book a call at https://calendar.app.google/YH7SA6Rrs3CbZRaw5, message Vladimir Cvijanovic on LinkedIn (https://www.linkedin.com/in/vladimircvijanovic/), or reach us at podcast@c42.services.
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면책 조항: 이 페이지에 포함된 팟캐스트와 작품은 C42 Services에서 가져온 것입니다. 이 팟캐스트는 소유자의 재산이며 Listen Notes, Inc.와 제휴하거나 보증하지 않습니다.
