This section provides step-by-step guidance for getting started with data governance – how to assess the current situation, establish goals, and create a roadmap tailored to the agency’s needs. There ...

What makes the New Zealand case worth following is what the investigations are actually testing: Are health systems truly designed to protect highly sensitive information?

For many CIOs, data governance has become synonymous with delay. Access requests move through ticketing systems, approvals stretch across weeks, and data ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

Data management issues have always presented challenges for the financial services industry. Here, DTCC explores why, with the right technologies, disciplines and structures in place, there is now ...

Data governance might be necessary - but it's anything but easy, and it's never complete. A recent post grossly oversimplified the solution - time for a rebuttal. There is a limit to how much nonsense ...

AI—both generative and machine learning/statistical—is essentially dead in the water without well-vetted, timely, quality data. This is holding back AI efforts more than anticipated, a recent survey ...

Procurement teams facing tighter budgets and higher expectations in 2026 can unlock real value from AI by focusing on practical, modular use cases—GenAI… Finish the year with a clearer view of the ...

Unstructured data isn’t an asset by default — it’s a liability until CIOs govern, lifecycle and curate it for AI-ready value. CIOs everywhere will be familiar with the major issues caused by ...

Data privacy has evolved in step with the expanding role of data in modern business. Earlier, it was addressed mainly through technical reviews and legal documentation, which suited the priorities of ...

As AI helps improve efficiency and decision making across industries and organizations, almost all startups are building their own AI model. However, there’s one critical aspect that most startups ...