Legal Issues for Data Professionals: Protecting Against AI Risks in NDAs
This column explores how to protect against the risks of AI in legal confidentiality and non-disclosure agreements (NDAs). When companies…
Data Education
Automated Enterprise Storage for Agentic AI
Agentic AI knows what it wants when it comes to enterprise storage. These autonomous, AI-driven agents can make their own…
Best Practices for Managing AI Agents in Production
AI agents can do amazing things to make the lives of IT professionals easier. But, they also have the potential to…
Compliance as a Catalyst for Innovation
Technology often moves faster than the rules meant to govern it. Regulators, tasked with protecting data they don’t always fully…
Data Is Risky Business: The Risk of AI Atrophy
Recently, I’ve been digging into what the future of work and the workforce might be in a post-GenAI world. Right…
The Data-Centric Revolution: Evolution of Metrics in a Data-Centric Enterprise (Part 1)
I’ve written elsewhere about the value of grounding your metrics program in semantics.1 This article goes well beyond that. We…
The U.K.’s Cloud Crackdown Is a Warning Shot to the U.S.
For years, concerns about cloud market concentration have echoed across Europe, the U.K., and the U.S. In the background, the…
What Are the Benefits of a Citizen Data Scientist Initiative?
The importance of Citizen Data Scientists has become a focus for the wise business executive and manager. Understanding Citizen Data…
Data and Analytics Governance: The Backbone of AI Adoption
Data Governance Goals The primary aim of data and analytics (D&A) governance, our research has taught us, is aligning data…
The Art of Lean Governance: Why Stakeholders Are the Key to Data Reconciliation
In an era where data drives trillion-dollar market decisions, one truth separates industry leaders from the rest: Data reconciliation is only…