Analysis is getting easier. Getting the answers right isn’t.
Skip the Definitions. What Problem Are You Trying to Solve?
The Semantics of Semantics, or Putting Context into Context
If you’re exploring conversational AI solutions, here’s a simple test: ask the same question five times, in five sessions, and see if you get the same answer five times. I do this regularly as part of my research. Too often, I get different answers, and once in a while, data that should never have been returned.
Before You Trust AI, Ask These Four Questions
Artificial intelligence has reached a point where most small and midsize businesses (SMBs) no longer need to ask whether AI can deliver meaningful capabilities. They face a more practical question: Where can AI create meaningful business value, and how much responsibility should they trust it to assume?
The Issues Around Watermarking AI Generated Text
Topics:
artificial intelligence regulations
AI editing
AI watermarking
EU AI Act
AI generated text
Anthropic
AI content identification
Writing skills and automation
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AI Hasn't Earned That Authority Yet
Something has shifted in enterprise IT, and it’s not getting enough attention.
Black Hat 2026 Recap: NHI, Data Security and the Ever Increasing Spend on All Things AI
IT Leaders Must Establish a Network Data Architecture Practice
Network data quality and authority have been problems for a very long time, and IT organizations can no longer afford to ignore the issue. Enterprise Management Associates (EMA) recommends that CIOs establish a network data architecture team and give it the budget and authority needed to improve the data that IT organizations rely on for day-to-day network operations.
