Category Archives: Decision Making

Never Ignore Uncertainty

Several important points made by Dr. Meinolf Sellmann:

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Decisions vs Policies

The latest post by Adam DeJans Jr. is so important that we decided to reproduce it here. He questions whether we always need a model to make a decision and describes the essential difference between decisions and policies. “A decision … Continue reading

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Prof Warren Powell: What is a decision?

Prof. W. Powell announced his newest webpage, “What is a decision?” covering these headings: 1)    What is a decision?2)    What types of decisions are there?3)    What does a decision do?4)    We make decisions to solve a problem, but what do we mean by a … Continue reading

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Decision Agents Today

Right after DecisionCAMP-2025, where James Taylor was the moderator of the Expert Panel, he posted a nice presentation, “Building Decision Agents with LLMs & Machine Learning Models,” about Decision Agents within modern decision intelligence platforms. A brief summary:

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DecisionCAMP-2025 Poll Results

During DecisionCAMP-2025, we conducted the poll “Using LLM-based tools in the Decision Intelligence Context“. This poll pertained solely to Operational Repetitive Business Decisions. It contained 13 questions about the use of LLMs for the various decision automation tasks. Here are the … Continue reading

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Making Operational Repetitive Decisions Under Uncertainty

While just completed DecisionCAMP-2025 was dominated by the integrated use of Generative AI (LLMs) and Symbolic AI (Rules, Machine Learning, Optimization), in my closing notes I concentrated on the topic of making repetitive operational decisions in the real-world, frequently uncertain environments. In this article, I … Continue reading

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Decision-Dominant Logic

Dr. Roger Moser: “We have entered the algorithmic age—an era where competitive advantage is defined less by the products you sell or the services you deliver, and more by the decisions your organization makes and how well it makes them. … 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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Decision-Making Under Uncertainty

Uncertainty is the environment in which our decision models frequently operate. What drives real decisions under real uncertainty? Adam DeJans Jr. unpacks why most “optimization” efforts fail under real-world uncertainty in the 5-part mini-series: Optimization under uncertainty needs to be … 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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