Alan Shimel, Mike Vizard, Fred Wilmot, Chris Blask and Gina Rosenthal break down three stories shaping the enterprise AI conversation right now: MIT’s effort to improve how LLMs answer accurately, Salesforce’s push to automate backend office workflows with agentic AI, and rising demand for senior cybersecurity talent as AI raises the stakes for security teams.

The episode starts with AI the Liar, looking at MIT research aimed at making large language models produce more accurate answers. From there, the gang turns to Salesforce’s agentic AI platform, which the company says can automate and modernize fragmented back-office workflows using specialized agents and auditable digital blueprints.

The final segment focuses on cybersecurity hiring pressure. A Fortinet-commissioned survey of 2,750 cybersecurity and IT professionals found that 51% specifically need senior-level skills, 60% say finding cybersecurity talent with AI experience is their top security challenge and 87% expect to increase cybersecurity team size.

From model trust to workflow automation to the cyber skills gap, today’s show tracks where enterprise AI is creating both opportunity and strain.

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