Challenge Oct-2025 “Decision with two objectives”

Posted on October 19, 2025 by decisionmanagementcommunity

This challenge is offered by Dr. Meinolf Sellmann. A freelance webpage developer received a task. A client has a budget of $10,000 and wants a webpage developed with as many features as possible while maximizing the total value of these features. The client leaves the decision of which features to the developer. She wants to delight the client and asks you which features would be best to select. We have the budget constraint and two objectives. Can you devise a rational way to trade them against each other? Link

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Prof Warren Powell: What is a decision?

Posted on October 17, 2025 by decisionmanagementcommunity

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 “problem”?
5)    What are the decisions that we can make?
6)    How do we make decisions?
7)    “State variables” are fundamental in dynamic problems, but what is a state variable?
8)    What is the value of information? Link

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Why Ontology driven (LLM-free) AI systems are needed

Posted on October 11, 2025 by decisionmanagementcommunity

On 7 October 2025, Bas van der Raadt presented “Ontology and business rules in practice” at VU Amsterdam where he talked about:
– Problems with code based systems
– Why ontology driven AI systems are needed
– What is an ontology?
– How to verbalize an ontology
– What is a business rule?
– How to verbalize business rules (i.e. with SBVR)
– How to make a LLM-free AI system that runs from an ontology without code generation
– How to develop an ontology
– Ontology goes beyond just information (facts), how are processes and actions also part of an ontology
– Different ontology languages, like OntoUML, DEMO, i* and e3-value
– How to combine those languages into one modelling approach. Here are the slides.

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LION20: The 20th Learning and Intelligent OptimizatioN Conference

Posted on October 9, 2025 by decisionmanagementcommunity

The 20th Learning and Intelligent Optimization Conference (LION) will be held on 15-19 June 2026, in Milan, Italy. It will include a special session: LEARNING AND OPTIMIZATION UNDER UNCERTAINTY FOR DYNAMIC AUTONOMOUS NAVIGATION. https://www.lion20.org/

Posted in Machine Learning, Optimization, Uncertainty | 1 Comment

Decision Agents Today

Posted on October 7, 2025 by decisionmanagementcommunity

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:

  • Do not use LLMs to make decisions or act as autonomous decision agents.
  • Instead, leverage LLMs to ingest decision agents and provide clear, contextualized explanations of made decisions to end users. Link

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DecisionCAMP-2025 Poll Results

Posted on October 3, 2025 by decisionmanagementcommunity

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 strongest choices (with more than 45%):

Continue reading →
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Making Operational Repetitive Decisions Under Uncertainty

Posted on October 1, 2025 by jacobfeldman

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 elaborated why it is important now and will be more important as the AI hype pushes our decision-making systems to even wider use within real-world business processes. Link

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Multiple valid solutions to a business problem

Posted on October 1, 2025 by decisionmanagementcommunity

John Brandon Elam wrote today: “You can actually tell the solver to generate multiple valid solutions to a problem, not just the single ‘best’ one. For me, as a Product Owner, that’s huge. Why? Because business stakeholders don’t live and breathe optimization. Nor should they. My job is to make the math disappear into something usable.

But when you can bring them several solutions, it does two important things:
1. Gives them a sense of control and choice.
2. Creates an opportunity to explain powerful concepts like “global optimal” in a practical, visual way.

It turns optimization from a black box into a conversation. And that’s the difference between adoption and resistance. Optimization is deep math, but in the end, it’s about people making better decisions.” Link

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Decision-Dominant Logic

Posted on September 28, 2025 by decisionmanagementcommunity

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.

Think of Amazon constantly repricing millions of items, or Netflix reshaping your screen in real time to keep you watching. Consider Toyota predicting machine failures before they occur, Walmart letting algorithms choose store-level restocking patterns each night, or Maersk steering ships around storms to save both fuel and risk. What unites these examples is not industry or geography, but the sheer volume, speed, and accuracy of decisions driving them forward.” Link

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The next platform shift is coming

Posted on September 28, 2025 by decisionmanagementcommunity

Linas Beliunas painted a quite dark picture for Microsoft, comparing its future to the collapse of DEC. “DEC missed the platform shift. PCs rose. IBM adapted. DEC died. AI could do the same to Microsoft. If AI agents replace SaaS, Microsoft must become the orchestrator, or risk becoming the next DEC.” At the end, he states: “The next platform shift won’t crown winners. It will erase giants.” But what exactly will be the next platform shift, and when will it occur?

GenAI itself answers this question as follows: “While AI is the most prominent driver of this transition, it is not a monolithic shift. The next platforms will be defined by the ways these emerging technologies work together. This move creates an era of ‘ambient computing,’ where interactions happen naturally and are seamlessly integrated into daily life, rather than being confined to a single device.“

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