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Gartner projects that more than 1 in 10 enterprises will be fully “AI-first” by 2030

Gartner projects that more than 1 in 10 enterprises will be fully “AI-first” by 2030.

The defining separator between the winners and everyone else won't be model capability.

Gartner's latest Data & Analytics trends report highlights the pivots needed, the ones I think are relevant to Governance:

#1 - Reducing AI Agent Risk with Decision Governance: Explicitly modeled business decisions will be 5x more trusted and 80% faster than ungoverned decisions by 2029. If you don't govern the decision graph, autonomous execution creates operational exposure.

#2 - Driving Trust with AI Governance Platforms: Standard assurance methods are no longer sufficient and AI governance platforms help organizations adhere to corporate policy, regulations and industry standards across common responsible AI principles.

#3 - Streamlining Operations with Agentic Data Management: The use of AI agents for data management enhances core data processes by enabling real-time actions, identifying pattern detection and recommendations to drive agility and faster responses.

Establishing strong governance and continuously monitoring performance will be essential to ensure these capabilities deliver consistent, business-aligned outcomes.

The full read:

The takeaway is clear: You cannot scale autonomous agentic systems on a fragmented data foundation.

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Weekly thinking on data and AI governance from Ash Srivastava.