Enterprise Intelligence

Latest Enterprise Intelligence news freshly curated for you as of 6 p.m. ET Oct. 18. Learn more about innovative developments, discover emerging trends and read expert perspectives.

Today's Highlights

Overview component
  • Enterprise AI has moved beyond the pilot phase to become critical infrastructure, demanding new governance models for agents, data, and workflows to ensure business outcomes.
  • The key to unlocking enterprise AI value is no longer the model but the governance of data, as organizations grapple with vast, untapped, and often ungoverned data assets.
  • Enterprises are increasingly avoiding vendor lock-in, adopting multi-model strategies and prioritizing data control, signaling a major shift in the AI market landscape.
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Every AI Company Sells An Agent. They Are Not Selling The Same Thing

Enterprise AI agent control is the new fight: OpenAI, Google and Workday each want agents to live with them, and buyers must choose which bet to make permanent.

ByGüney Yıldız,

Contributor

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Should Consumer, Enterprise And Government AI Follow Different Rules?

Should consumer, enterprise and government AI follow different rules? Explore the growing AI regulation debate and how innovation and national security shape governance.

ByEmil Sayegh,

Contributor

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Data Access, Not Models, Will Determine Enterprise AI's Ceiling

AI is forcing a reckoning with a problem enterprises have been deferring. Organizations are sitting on vast, untapped data assets accumulated across the business.

ByGary Drenik,

Contributor

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AI Conference 2026: Enterprise AI Moves From ‘Wow’ To ‘How’

The AI Conference 2026 showed enterprise AI shifting from hype to execution, with agents, governance, costs and human judgment taking center stage.

ByTim Bajarin,

Contributor

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Data Authenticity Is Now The Real Currency Of AI Research

Someone still has to decide where a verification system’s thresholds sit, and whether a borderline response deserves a second look rather than an automatic rejection.

ByGary Drenik,

Contributor

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How To Establish Solid Enterprise AI Governance

Also in the Forbes CIO Newsletter: Trump and tech execs sign a ‘morally binding’ accord on AI governance and safety, OpenAI launches an agentic platform.

ByMegan Poinski,

Forbes Staff

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AI Adoption Is Outrunning Trust. Explainability Closes The Gap.

AI model performance is rapidly improving, agentic tools are multiplying, and AI is moving into the workflows where businesses make decisions.

ByGary Drenik,

Contributor

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Will On-Device AI Slow The Data Center Boom?

On-device AI will handle more everyday tasks, but agentic workflows and enterprise demand will keep cloud inference and data center growth accelerating.

ByTim Bajarin,

Contributor

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AI Models Create Intelligence. Context Creates Enterprise Value.

AI models are getting commoditized. Context is what turns intelligence into better decisions, execution, learning, and enterprise value.

ByBrent Gleeson,

Contributor

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As AI Agents Gain Authority, CIOs Must Redesign The Enterprise

AI agents are reshaping enterprise technology. CIOs must rethink governance, cybersecurity, data readiness, workforce integration, value measurement, and agent authority

ByDavid Chou,

Contributor