Category Archives: Decision Making

Opinion: Traditional Rule Engines Outlived their Usefulness

This LinkedIn article “How Traditional Rules Engines Stifle Innovation” states: “AI and advanced analytics are key to life insurance innovation. While the industry tries to make use of these technologies, the insurance application continues to play a central role in … Continue reading

Posted in Decision Making, Insurance Industry, Rule Engines and BRMS | 1 Comment

Challenge Aug-2019: Stateful Decisioning

Nowadays it’s not enough for decision making applications to simply execute a complex rules-based transaction, forget about it, and wait for the next one. They should be able to learn from already executed transactions and evaluate new facts as they … Continue reading

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Posted in Business Processes, Business Rules, CEP, Challenges, Decision Making, Events | Leave a comment

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

Posted in Business Rules, Case Studies, Decision Making, Machine Learning, Optimization | Leave a comment

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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