We often say AI’s mistakes are “by design,” but they’re really not. AI wasn’t built to fail in these specific ways — its errors emerge as a byproduct of how it learns.  But what if we actively use them as a tool instead of just tolerating AI’s weird mistakes or trying to eliminate them?  Here ..read more

It’s easy to make the case for building a data mesh within your business. By enabling a decentralized approach to data management, data meshes can improve agility, reduce bottlenecks, and help teams make decisions based on the most recent, accurate information.  What’s often harder, however, is actually implementing a data mesh — and not only ..read more

Have you ever invented something, seemingly out of whole cloth, only to do a simple Google search to find out it’s a well-defined discipline you’d never heard of? That’s how this article started.  The mini methodology we’re going to describe in this article started life in a discussion with Mike Pool and his team at ..read more

Like every other business, your organization must plan for success. In order to do this, the team must have a dependable plan, be able to forecast results, and create reasonable objectives, goals, and competitive strategies. These plans and forecasts will support investment in technology, appropriate resources and hiring strategies, additional locations, products, services and marketing ..read more

The future of data engineering and AI-driven analytics is both exciting and complex. As technology continues to evolve at a rapid pace, so too does the demand for a workforce capable of harnessing the full potential of these advanced systems. With more than a decade of experience in enterprise architecture, digital transformation, and cutting-edge technologies ..read more

Data policies serve as the guardrails for how organizations manage their most valuable asset: data. Just as communities establish guidelines for shared community spaces, data policies provide the framework for how teams access, utilize, and govern their collective and shared data resources.  These policies aren’t merely bureaucratic exercises. They establish the rules of engagement for ..read more

Digital co-workers are no longer hypothetical. AI-driven agents (“Agentics”) are creeping into every function, every decision process, and every interaction within organizations. In some ways, they are the executive dream — they don’t need coffee breaks, demand raises, or call in sick. And yet, they’re reshaping work in ways few leaders are prepared to handle.  ..read more

In January, CDO Magazine carried an article by a consortium of authors including Dr. Tom Redman, John Ladley, Dr. Anne-Marie Smith, and others. The eye-catching headline: “Data Governance is failing — here’s why.” The article sets out the results of a Force Field Analysis study carried out by the authors to try and understand why ..read more

When I read about new technologies, I often think of the movie “Field of Dreams.” The protagonist builds a baseball field in the middle of a corn field because he hears a voice. “If you build it, they will come.” In the movie’s case, “they” are ghostly baseball players. For technology companies, “they” are businesses ..read more

If you haven’t already heard, a number of organizations have laid off their CDOs and CDO groups and data teams because of a perceived lack of significant or measurable business value. In addition, a recently released report from MIT Sloan delivers some very depressing numbers about the efficacy of CDO groupsi:  The average tenure of ..read more