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Smug until weirdly silent: who told us to say “I am alive”?33m ago Disney's new CTO tells staff he 'won't pretend it will be easy' to win in the changing media landscape46m ago OpenAI Adds New Irish Roles in Boost to Firm’s EU Headquarters47m ago Manifold Steering from a Natural State is Effective and Generalizable, but Relies on Model Accuracy49m ago Microsoft Research Introduces StudentSim for AI Tutor Training49m ago Why Big Tech Is Borrowing Billions to Fund AI Spending53m ago Meet the Anthropic Engineer Keeping Its AI Agent Trustworthy55m ago Meta Unveils New Series of Advanced A.I. Models2h ago Russia was not ready for the data center war it started with Ukraine1h ago Accessing OpenAI GPT models on Amazon Bedrock with global cross-Region inference in Thailand, Malaysia, Singapore, Indonesia, and Taiwan1h ago Meta says its new Muse model has reached the AI frontier1h ago Do you have any ideas?1h ago Claude sent a false homicide tip to police – and it’s part of a troubling AI pattern1h ago Labs’ current alignment plans seem terrible1h ago

Business & Enterprise3 min reading time

AI can scale quickly, traditional governance not enough, needs control layer for production: Report

ET AI (The Economic Times)Published 23 days ago

Read the full article

Ness Digital Engineering's report warns that traditional governance is insufficient for scaling AI in enterprises. It advocates for a continuous control layer in production—an "Enterprise AI Harness"—to ensure AI reliability, accountability, and risk management throughout the AI lifecycle.

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#enterprise-ai-governance #ness-digital-engineering

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