Have you ever invented something, seemingly out of whole cloth, only to do a simple Google search to find out it’s a ...

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 ...

It’s easy to make the case for building a data mesh within your business. By enabling a decentralized approach to data ...

Like every other business, your organization must plan for success. In order to do this, the team must have a dependable plan ...

The future of data engineering and AI-driven analytics is both exciting and complex. As technology continues to evolve at a ...

Principal Enterprise Architect at SAP America, specializing in digital transformation, AI, IoT, and cloud-native architectures. With over a decade of experience, he advises enterprises on optimizing ...

Data policies serve as the guardrails for how organizations manage their most valuable asset: data. Just as communities ...

Digital co-workers are no longer hypothetical. AI-driven agents (“Agentics”) are creeping into every function, every decision ...

My name is Bill Burkett, and I am a data modeler.  I don’t call myself that often and sometimes have misgivings about doing ...

If you haven’t already heard, a number of organizations have laid off their CDOs and CDO groups and data teams because of a ...

Organizations often assume they have data governance under control, but in reality, many are simply reacting to data chaos rather than actively managing it. This isn’t due to negligence or a lack of ...

This column will expand on a Systems Thinking approach to Data Governance and focus on process control. The vendors of myriad governance tools focus on metadata, dictionaries, and quality metrics.