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…
artificial intelligence
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…
Ensuring AI-Ready Data
Being an AI-ready organization involves identifying and then overcoming data issues that hinder the effective use of AI and generative…
Data Speaks for Itself: The Shift from Syntactic to Semantic Data Curation
My column today is a follow-up to my article “The Challenge of Data Consistency,” published in the May 2023 issue…
Artificial vs. Augmented Intelligence
Terms like artificial intelligence (AI) and augmented intelligence are often used interchangeably. However, they represent fundamentally different approaches to utilizing…
The Book Look: AI Governance
Technics Publications has started publishing a line of Data-Driven AI books, and one of the first books in this series…
The Rising Importance of AI Governance
AI governance has become a critical topic in today’s technological landscape, especially with the rise of AI and GenAI. As…
Through the Looking Glass: Metaphors, MUNCH, and Large Language Models
“What’s a metaphor?” Mr. Biergel posed the question one morning to my high school grammar class. Being typical teenagers, we…