Enterprises shift AI focus from insights to autonomous action
SiliconANGLE: What to watch for as enterprises move from AI experimentation to autonomous operations
For the past three years, the enterprise artificial intelligence conversation has focused on what models can say. The next three years will be about what systems are allowed to do. That’s a harder problem that better models alone won’t solve. On Wednesday, Oct. 28, I’ll be in Boston for the Bloomberg Tech Event: Building the […] The post What to watch for as enterprises move from AI experimentation to autonomous operations appeared first on SiliconANGLE.
Get smart on it
Enterprises are shifting from using AI to generate insights toward allowing AI systems to take autonomous action, which requires fundamentally different safeguards and operational approaches. The key challenge ahead is not whether AI models can work better, but whether organizations can safely trust AI agents to make decisions and take actions without human approval at each step. This matters because autonomous AI systems managing infrastructure decisions at machine speed require new ways to measure success, new security models designed for nonhuman identities, and modernized network infrastructure. The transition depends less on technological capability than on solving organizational, data, and trust problems, with security leaders and operators ultimately deciding how quickly autonomous operations can proceed.
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