Data Management 3.0
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Building trusted, governed, and intelligent enterprise data in the age of AI.
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For seven decades, enterprises have been solving the same problem: how do multiple parties create, preserve, and act on information they can all trust? AI has just made getting it wrong existential.
In Data Management 3.0, Michael Ivie reveals why traditional approaches are no longer sufficient. He traces the discipline's evolution from foundational controls through enterprise governance to a new paradigm built on semantics, continuous certification, and data products. Drawing on practical transformation, Ivie provides the frameworks and operating discipline needed to certify data, build reusable capabilities, and prepare organizations for responsible AI.
Whether you're a Chief Data Officer, governance leader, technology executive, or data practitioner, this book offers a proven roadmap for turning fragmented information into trusted, governed, and intelligent enterprise data. AI will not fix weak data management; it will expose it, accelerate it, and amplify its consequences.
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