Category Archives: Artificial Intelligence

A call for AI substance not for more hype

Today Stéphane Dalbera posted such a call: “… in the case of LLMs, too often the discourse remains high-level and aspirational. Demos abound, wow effect, but operational insights remain scarce. For a field that claims to redefine productivity, creativity, and … Continue reading

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“Decision Intelligence is AI for Grownups”

This phrase is often used to highlight how Decision Intelligence (DI) represents a more mature, pragmatic, and business-focused application of artificial intelligence. I asked Copilot why some people describe DI that way. See the answers at https://www.linkedin.com/feed/update/urn:li:activity:7352416233801060352/

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Is what photography did to painting similar to what AI does to software development? 

Google this question and see different answers. “This industry, by invading the territory of art, has become art’s most mortal enemy.” Was this quote said in 1859 about photography by Charles Baudelaire or in 2025 about AI art by somebody … Continue reading

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Smart orgs don’t chase models.They build decision systems.

This is a quote from Adam DeJans Jr. It is right to the point and should be shown completely: “Most AI systems can tell you what happened. Very few can tell you why. And almost none can tell you what … Continue reading

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AI Aphorisms

Bruno Levy decided to share short sentences related to the conditions of possibility for AI reasoning and human-AI collaboration. Here is his first aphorism: “True reasoning is not a function of knowing everything, but a function of being structurally immune … Continue reading

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Becoming an expert in AI

Source: https://shorturl.at/CyOPK

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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

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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

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“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

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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

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