AI’s Newest Employee: Who Bears the Burden of Your Digital Co-Workers?
Digital co-workers are no longer hypothetical. AI-driven agents (“Agentics”) are creeping into every function, every decision process, and every interaction…
AI
Through the Looking Glass: Technology Solutions in Search of a Problem
When I read about new technologies, I often think of the movie “Field of Dreams.” The protagonist builds a baseball…
Generative AI vs. Predictive AI: Comparing Apples and Oranges
The AI revolution is upon us, with businesses pouring billions of dollars into generative and predictive AI solutions. From crafting…
All in the Data: Too Soon for Q Governance?
Quantum computing, with its groundbreaking capabilities, is poised to redefine how organizations solve complex problems and innovate in ways previously…
The Book Look: AI & The Data Revolution
I am just going to start off by saying that I am a Laura Madsen fan. Her writing style combines…
Legal Issues for Data Professionals: In AI, Data Itself Is the Supply Chain
Data is the supply chain for AI. For generative AI, even in fine-tuned, company-specific large language models, the data that…
Through the Looking Glass: What Does Data Quality Mean for Unstructured Data?
I go to data conferences. Frequently. Almost always right here in NYC. We have lots of data conferences here. Over…
Ethical Considerations in AI-Powered Data Archiving for IT Operations
The rapid adoption of artificial intelligence (AI) in data archiving for IT operations has transformed how organizations manage vast amounts…
A Data-Driven Approach to Climate Risk Assessment for the Insurance Industry
Climate change is no longer a distant threat, but a present reality that’s reshaping the insurance landscape across the United…
All in the Data: A New Data Governance Season Is Here
As the new NFL season gets rolling, there’s a profound sense of anticipation in the air — the thrill of…