Author Archives: decisionmanagementcommunity

“The True Bottleneck Holding Back Agentic AI”

Prof. Marlon Dumas posted: “Lately, we’ve seen a shift from AI that just thinks to AI that acts. But as autonomous agents start making decisions, buying services, and moving across internal systems, we face a critical legal and security hurdle: … Continue reading

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“Why I Love Supply Chain?”

Adam DeJans Jr. shared a great post about why he loves supply chain. “Supply chain is one of the few fields where the problem looks simple on paper and then immediately becomes impossible the moment it touches reality. Move the … Continue reading

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When AI builds itself

“For most of AI’s history, humans drove every step in its development cycle. But at Anthropic, we are delegating a growing share of AI development to AI systems themselves, which is speeding up our work. Taken far enough, and given … Continue reading

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Decision Optimization and LLM

Gurobi, the company behind one of the leading Integer Linear Programming (ILP) solvers, recently published a white paper “Intelligence, Optimization, and theNew Decision Frontier” (written by Adam DeJans). It describes different integration techniques of optimization tools such as ILP solvers … Continue reading

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Martin Milani: “Don’t delegate reasoning and operational decisions to systems.”

Martin Milani: “This is not an argument against AI, it is an argument for not outsourcing the thing that made us capable of building it. It’s manageable when any of these tools simply extend human thinking and intelligence. It becomes … Continue reading

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The era of AI viruses has begun

Martin Milani wrote today: “MCP gives agents tools to read your files, read/send your emails, and query IT systems. It’s what makes agents actually useful. It’s also a wide-open door. There’s no inherent concept of security in MCP. No framework. … Continue reading

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Under-Engineering

Stéphane Dalbera wrote: We should stop using “over-engineering” as a catch-all buzzword and as a convenient disguise for defending mediocrity, quick-and-dirty practices, and the refusal to develop deeper expertise. Reducing the entire toolbox of software engineering to what a beginner … Continue reading

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“Deterministic systems produce facts, small local LLMs turn them into language.”

Gary Hallmark asks: “What can small local LLMs realistically do today?” He did some experiments with these conclusions: “Small local LLMs are often not great at open-ended expert reasoning. But they are already surprisingly capable at: structured data → natural-language … Continue reading

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Submissions Review for Apr-2026 Challenge “Agentic Medical Services”

We received five submissions for the Apr-2026 Challenge and asked Jeremiah Connelly of Novus-Forge to provide a comparative analysis. He wrote: “The April 2026 challenge sits at an intersection that is increasingly relevant to anyone building production systems with AI: … Continue reading

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Major uses of Agentic AI within the Decisioning Context

This topic is posted in our Q&A forum: Read more and share your experience with the current use of Agentic AI in real-world decision-making systems.

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