MIT study reveals why most enterprise AI pilots fail
MIT research shows 95% of enterprise AI pilots fail due to workflow integration problems, not model quality. Success requires vendor partnerships and back-office focus over internal builds.
MIT research shows 95% of enterprise AI pilots fail due to workflow integration problems, not model quality. Success requires vendor partnerships and back-office focus over internal builds.
"Judge Anna Manasco just delivered the clearest signal yet that the era of slap-on-the-wrist responses is over."
I've been watching legal teams wrestle with AI agent rollouts, and the VentureBeat data confirms what I suspected: we're solving the wrong pro…
I track AI agent development for work, so when I clicked on Cate Hall's TED Talk thinking it might cover autonomous systems, I was caught off guar…
AI governance in the GPT-5 System Prompt
I spent Tuesday morning reading about a Georgia trial judge who signed off on an order citing two completely fake cases—cases that never existed, hall…
Product teams must architect agent-native security from day one rather than retrofitting traditional controls, implementing runtime monitoring, memory hygiene, and adaptive governance that can evolve alongside autonomous systems to avoid costly reactive security implementations.
"...we're not witnessing death, we're watching evolution under enterprise constraints'