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After a year of shoehorning generative AI into its flagship products, Microsoft is trying to recoup the costs by raising prices, putting ads in products, and cancelling data centre leases. Google is making similar moves, adding unavoidable AI features to its Workspace service while increasing prices.

In an era where data management challenges are multiplying exponentially, information professionals have a new resource at their disposal. The American Library Association's Neal-Schuman imprint has published the third edition of "Records and Information Management," a reference text for both students and RIM professionals.

"Data Management is witnessing its ChatGPT moment,” claims Rohit Choudhary, founder and CEO of Acceldata, which has just launched its own Agentic Data Management (Agentic DM) platform.

There is a significant disconnect between businesses' ambitions for AI and their investment in compliance and risk mitigation, according to the Ataccama Data Trust Report 2025: Turning Compliance and Risk Mitigation into a Foundation for Strategic AI, which found that that one in five businesses lack a data governance framework.

With the increasing importance of data, many organisations are asking whether they need both a data strategy and a Data Governance strategy. I've been doing Data Governance for over twenty years now and I'll be honest - in the first fifteen years, no one even talked about a data strategy or a Data Governance strategy. But, before we dive into the answer, let's start by getting the basics straight.

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