Category Archives: Decision Intelligence

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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Multiple valid solutions to a business problem

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 … 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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Want to build real decision intelligence?

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

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Integrating Relational Databases and Decision Intelligence Platforms

This topic has been of interest to many rule engine vendors and practitioners for years. There was an interesting discussion about an integrated use of Business Rules and DB a year ago: https://lnkd.in/ecych49r What do you think today about the … Continue reading

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Announcing IBM Decision Intelligence

“IBM Decision Intelligence addresses the gap between policy intent and operational execution. It represents a paradigm shift from static rule engines to AI-native decision making. The generative AI engine interprets natural language policy descriptions, automatically synthesizes business rules, and deploys … Continue reading

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If you want to build real-world decision intelligence…

Adam DeJans Jr. just posted on LinkedIn practical advice on how to build real-world decision intelligence: Most “decision intelligence” projects fail because they skip one thing: Engineering. A model is not a system. A dashboard is not a decision. If … 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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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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