Hitachi and NVIDIA collaborate to advance HMAX and enable end-to-end autonomous operations through the integrated control of physical AI
Share with your CTO Hitachi is betting that the missing layer in industrial AI isn't better models, it's coordinated control across everything already on the factory floor. Through a deepened…
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AI Won’t Outrun Bad Procurement
Share with your COO Federal AI deployments are failing procurement, not technology, according to this RAND commentary on AI acquisition failures. Two cases frame the argument: Project Maven lost Google…
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The real thinking behind Apple’s OpenAI lawsuit
Share with your CEO Apple has sued OpenAI for trade secret misappropriation, and the Vergecast breakdown surfaces the more interesting question: is this a genuine IP grievance or a strategic strike timed to…
If AI agents are doing the work, who’s understanding?
Share with your CISO AI agents are quietly dismantling the foundational assumption behind enterprise accountability: that the person responsible for an outcome also understood how it was reached. With 77% of Asia-Pacific workers…
CISO Personal Liability Fears Nearly Double as AI Governance Expands
Share with your CISO Personal liability fear among CISOs has nearly doubled in a single year, with three-quarters now worried about individual legal exposure after incidents, up from just over half in the…
Culture in Flux – Continuous Change and AI Transformation
Share with your CHRO Based on limited public information from The Conference Board, a webcast on AI and organizational culture frames AI adoption not as a technology rollout but as a cultural stress…
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Claude Code’s Creator Has Better Way to Measure AI Success Than Tokens
Share with your CFO Boris Cherny, creator of Anthropic's Claude Code, is pushing back against the dominant metric enterprises use to justify AI spending. In a thread on X, Cherny outlined a four-step enterprise adoption framework and landed hard on measurement: token consumption dashboards track activity, not return. The right question is whether the company would have spent engineering hours on the same task manually, and what that would have…
Smarsh: AI governance lags deployment at most enterprises
Share with your CISO A joint study from Smarsh and FTI Consulting puts a precise number on a problem most compliance teams already feel in their gut: 55% of enterprises are running AI in production, but only 26% have governance frameworks keeping pace with that deployment. The 2026 Enterprise AI Trends Study surveyed regulated industries and found that just 30% of organizations can detect shadow AI, the unauthorized tools employees…