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…
AI
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…
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…
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…
Eyes on Data: AI Fluency and Data Management for Responsible Innovation
The promise and pursuit of artificial intelligence (AI) are undeniable. AI is reshaping how organizations interact with customers, streamline operations,…
Digital Identity Verification: The Role of AI in Financial Security
The global financial sector is undergoing a profound digital transformation, redefining how individuals and institutions interact with their money. In…
Why Data Governance Still Matters in the Age of AI
At a recent conference, I witnessed something that’s become far too common in data leadership circles: genuine surprise that chief…
Data Speaks for Itself: Is Your Data Quality Management Practice Ready for AI?
While everyone is asking if their data is ready for AI, I want to ask a somewhat different question: Is…
A Leadership Blueprint for Driving Trusted, AI-Ready Data Ecosystems
As AI adoption accelerates across industries, the competitive edge no longer lies in building better models; it lies in governing…