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…
AI
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…
Data Leader’s Playbook for Data Mapping
I’ve been thinking a lot about data mapping lately. I know, weird, right? With analytics, AI, cloud, etc., why would…
Combat Governance Dilution: The CGO Solution
The term “governance” has become so widely used that it has lost much of its impact and precision. Originally, governance…
Legal Issues for Data Professionals: Current Leading U.S. AI Laws
There is no nationwide federal law in the U.S. that specifically regulates the development, deployment, and use of AI in…
Fundamentals of AI Automation
Experts predict the AI market will grow from $184 billion in 2024 to $826 billion by 2030. And considering the…
Change Management in Data Projects: Why We Ignored It and Why We Can’t Afford to Anymore
For decades, we’ve heard the same refrain: “Change management is crucial for project success.” Yet leaders have nodded politely and ignored…