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​​Data Priorities 2027​

​​The data priorities behind reliable AI.​

AI adoption is outpacing the readiness of the data and controls it depends on. Agents are acting across business systems, boards expect measurable returns, and employees need confidence in the answers they use. Coming soon, Data Priorities 2027 makes a clear case: expanding AI requires sustained investment in the data and controls that support it. The report sets out five connected priorities for Data leaders: establish shared business definitions for people and AI; unify operational, analytical, and unstructured data; govern agents as they operate; align data investment with business outcomes; and define when AI answers can be trusted. Each priority offers a practical starting point, helping leaders begin with a business decision that matters and build from there.


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Author

Jason Edwards

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