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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First shared on LinkedIn.