Unified metadata models are emerging as a cornerstone in the changing landscape of data management, highlighting the critical need for integrated frameworks that ensure data accessibility, security ...
To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, ...
About three years ago, Steven Adler was running the privacy consulting practice at IBM. As he talked with IBM customers, he discovered that many of the large customers had some pretty complex IT ...
In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the ...
A strong data governance foundation is essential for higher education institutions to deploy trustworthy, effective ...
Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape.
If you’re reading this, there’s a very good chance your organization’s approach to data governance is the exact opposite of what it should be for the AI era. If you’ve read my prior articles, you know ...
For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...
Healthcare AI is growing up: instead of one massive model, 2026 favors teams of smaller, specialized models that collaborate, ...
AI and data sovereignty are putting regional data centers at the heart of Europe’s AI evolution. Local data centers and ...
In today’s rapidly evolving digital landscape, the value of data cannot be overstated. Data has become the lifeblood of innovation, driving decisions, shaping industries, and transforming how we live ...
What is data governance and how does it benefit my organization? Your email has been sent Vendors as varied as Google Cloud and Oracle all hope to sell you data governance, but it turns out data ...
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