Author Archives: decisionmanagementcommunity

Want to build real decision intelligence?

Here is Adam DeJans’ advice: https://shorturl.at/x2OzU

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Can LLMs create something truly new?

See Martin Milani‘s answer: “Novelty is not born from history. It arises from logic, imagination, and reasoning: asking “what if?”, testing counterfactuals, building on principles, and pushing beyond what data alone can reveal. Every major leap in science and technology … Continue reading

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LLM humanizes Optimization Solver’s results

Tiago de Morais Montanher altered the data for the classic transportation problem to render the problem infeasible. Then he called the conflict refiner from CPLEX to obtain a list with 5 points like the one below: _TConflictConstraint(name=’capacity_seattle’, element=docplex.mp.LinearConstraint[capacity_seattle](quantity_seattle_new_york+quantity_seattle_chicago+quantity_seattle_topeka,LE,350), status=<ConflictStatus.Member: 3>) … Continue reading

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When good intentions backfire

Cobra Effect

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“We replaced AI workers with human interns..”

Link

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Gartner Stock Down 49%

Forbes: Gartner Stock Down 49%. Learn Why, What CEO Can Do, And Whether To Buy $IT

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On the way to Cognitive AI

Peter Voss will present “Beyond LLMs: INSA – Integrated Neuro-Symbolic Architecture” at DecisionCAMP-2025 on Sep 23. Meanwhile, you may read his article “The Jury is out: Scaling LLMs will not get us to Real Intelligence. What will?” about the importance … Continue reading

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MIT: Shadow AI in Business 2025

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The next much more meaningful chapter will be about human–AI symbiosis, not parroting chatbots

Martin Milani commented on Thomas Kehler’s article “Is windetr on the horizon for Generative AI?“: “The next much more meaningful chapter will be about human–AI symbiosis, not parroting chatbots. Like the dot-com bust, this bubble will burst, and AI will … Continue reading

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The Intuition Behind How Large Language Models Work

Prof. Mark Riedl posted intuitive explanations of how LLMs, LLM-chatbots, and Agentic AI work:Part I “LLMs and chatbots“Part II “RAG, Chain of Thought, Agents“

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