Author Archives: decisionmanagementcommunity

Anthropic Copyright Ruling May Spur More AI Licensing Deals

The first federal court decision on the fairness of taking copyrighted material to train generative artificial intelligence is a mixed outcome for tech companies and content creators that could prompt both parties to seek coexistence, according to attorneys, with the … Continue reading

Posted in Legal, LLM | 1 Comment

Rodney Brooks’s 1988 article “Al: great expectations”

He just posted on LinkedIn: “Every so often a new AI development comes along and great excitement ensues as people stumble over themselves convinced that the key to intelligence has been unlocked.” Me writing about AI overhype 37+ years ago. … Continue reading

Posted in Artificial Intelligence | Leave a comment

Gartner: “AI is not doing its job”

Speaking at the firm’s Data & Analytics Summit in Sydney, Australia, Gartner’s global chief of AI research Erick Brethenoux: “AI is not doing its job today and should leave us alone.” Brethenoux said the current wave of AI hype is fueled … Continue reading

Posted in Artificial Intelligence, Gen AI | Leave a comment

“Decision-making is not prediction. It is structure.”

Adam DeJans Jr. posted on LinkedIn: We have never had more data, more compute, or more machine learning. But most systems still fail to make good decisions. Why? Most “AI” systems today forecast something and hand it off to a … Continue reading

Posted in Artificial Intelligence, Decision Intelligence, Decision Making | Leave a comment

Modeling Logic Isn’t for Everyone

An article with this name was posted today by Stefaan Lambrecht, a frequent presenter at DecisionCAMP. “Why can’t everyone on the business side just model decisions, cases, and processes using DMN, CMMN, and BPMN?” Ah. If only it were that … Continue reading

Posted in Art, Artificial Intelligence, Business Logic, Decision Intelligence | Leave a comment

Collapse of Reasoning Models?

Apple’s ML scientists put to the test the latest “reasoning” models, like Claude, DeepSeek-R1, and o3-mini. They made these models solve classic puzzles: Tower of Hanoi, Checker Jumping, River Crossing, and Blocks World. Their findings “reveal fundamental limitations in current … Continue reading

Posted in Artificial Intelligence, Challenges, Reasoning | Leave a comment

AI Yes-Men

Pieter van Schalkwyk posted on LinkedIn “When AI Agents Tell You What You Want to Hear: The Sycophancy Problem“. In particular, he says: “Modern AI models learn to maximize user satisfaction metrics. This training creates a fundamental bias toward telling … Continue reading

Posted in Artificial Intelligence, Decision Making, Human-Machine Interaction | Leave a comment

ML: Pros and Cons

A right-to-the-ground discussion about Machine Learning (ML) is happening on LinkedIn. After François Piednoel de Normandie explained why “ML can neither be safe nor secure“, Philippe Kahn wrote: “First off, you’re right: ML isn’t perfect (yet). But neither is my … Continue reading

Posted in Machine Learning | Leave a comment

It’s better to be approximately right than precisely wrong

This statement is from the post by Adam DeJans Jr: “I’ve worked with many companies (from logistics to manufacturing) and one pattern stands out. There’s often too much emphasis on improving forecast accuracy, and too little thought about what really … Continue reading

Posted in Forecasting, Uncertainty | Leave a comment

Building Business Capability conference: June 9-12

The Building Business Capability (BBC) conference will take place on June 9-12, 2025, Phoenix, AZ. This conference focuses on enhancing leadership skills, digital transformation, and various business methodologies, including Business Analysis and Business Architecture. AI from the Business Analyst’s perspective … Continue reading

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