Category Archives: Decision Intelligence

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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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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Modeling Logic Isn’t for Everyone

An article with this name was posted today by Stefaan Lambrecht, a frequent presenter at DecisionCAMP. “Why can’t everyone on the business side just model decisions, cases, and processes using DMN, CMMN, and BPMN?” Ah. If only it were that … Continue reading

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New book about Business Decision Modeling

Jacob Feldman just published a new book “Business Decision Modeling with OpenRules” available from Amazon. “This book is oriented to subject matter experts who want to build operational decision models for their business environments. No programming skills are required. The … Continue reading

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