Category Archives: Decision Making

After Software Eats The World, What’s Left? “Decisions”

A post with this title has been published by Data Decisioning. It refers to Andreessen Horowitz podcast that asks: Is there anything left after software eats the world?  The focus of digitization and automation is on routine work, always in a … Continue reading

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Data Science vs. Decision Science

Data Science Central posted this interesting comparison: “Data scientist is a specialist involved in finding insights from data after this data has been collected, processed, and structured by data engineer. Decision scientist considers data as a tool to make decisions … Continue reading

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Similarity in Machine and Human Decision Making

In his new post “Artificial and Human Intelligence” Alain Chabrier from IBM describes decisions the members of his own  family make while packing for vacation. In simple terms Alain nicely explains how we use 3 major Decision Management techniques (Rules, … Continue reading

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RLDM – Reinforcement Learning and Decision Making Conference

Reinforcement learning and decision making have been the focus of research spanning a wide variety of fields including psychology, artificial intelligence, machine learning, operations research, control theory, animal and human neuroscience, economics, and ethology. Key to many developments in the … Continue reading

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bpmNEXT => Intelligent Automation

Kris Verlaenen reports from bpmNEXT: “The conference is still called bpmNEXT but the consensus is that the term “Intelligent Automation” seems to cover better what we are discussing.. Traditional flow charts have reached their limits in representing more adaptive requirements … Continue reading

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What is a ‘Decision’?

Ron Ross, Jacob and I have recently been discussing the March DMC Challenge. In his submission Ron suggests the challenge is a ‘rules problem’ not a ‘decision problem’ and quite reasonably asked me for my definition of a ‘decision’ when … Continue reading

Posted in Business Rules, Decision Making, Decision Modeling, Decision Models | 3 Comments

Giving Algorithms a Sense of Uncertainty

MIT Technology Review published this article Giving algorithms a sense of uncertainty could make them more ethical: “Algorithms are built to pursue a single mathematical goal, such as maximizing the number of soldiers’ lives saved or minimizing the number of … Continue reading

Posted in Artificial Intelligence, Decision Making, Optimization | 1 Comment