Category Archives: Decision Making

Buridan’s Indecisioning

Posted on February 4, 2021 by decisionmanagementcommunity

Buridan’s Principle: A discrete decision based upon an input having a continuous range of values cannot be made within a bounded length of time.  Leslie Lamport Everyday example: “You’re walking down the street and realize, to your chagrin, that you’re … Continue reading →

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Pragmatic Approach to Predictive Decision Automation

Posted on December 10, 2020 by jacobfeldman

In this webinar Red Hat specialists explain how explainable Predictive Decisioning can help us trust AI. Their  approach combines AI/ML, decision optimization, and traditional business rules to better understand the factors that contribute to an automated decision. They use the … Continue reading →

Posted in Artificial Intelligence, Decision Making, Decision Modeling, Decision Monitoring, Decision Optimization, Machine Learning | Leave a comment

The Decision-Making Side of Machine Learning

Posted on October 3, 2020 by decisionmanagementcommunity

Michael I. Jordan is a professor at Berkeley and one of the most influential people in machine learning, statistics, and artificial intelligence. Watch his recent presentation: “Much of the recent focus in machine learning has been on the pattern-recognition side … Continue reading →

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Real-Time Decision-Making

Posted on September 15, 2020 by decisionmanagementcommunity

How does your Decisioning Platform support real-time decision-making? Coolfire: “In order to make real-time decision-making a core organizational capability, it’s time for organizations of all kinds to invest in a platform designed to make their data actionable. That means utilizing a … Continue reading →

Posted in Decision Making, Digital Decisioning, Event-driven, Reactive Rules | Leave a comment

Decision analytics: What is AI?

Posted on July 25, 2020 by decisionmanagementcommunity

Prof. Warren B Powell from Princeton University: “The most common types of AI come in three flavors: rules, machine learning, and making decisions (“optimization”). Rules are used for guiding computers to identify patterns or make recommendations, and have to be … Continue reading →

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BizOps–Aligning Business and IT in Automated Decision-making

Posted on June 27, 2020 by decisionmanagementcommunity

In his post with this title,Tom Davenport talks about “BizOps”—a new effort to address and improve the relationship between IT and business. Like other “Ops”—DevOps, AIOps, RevOps, etc.— it’s an aspirational attempt to combine two processes and cultures—business and technology. … Continue reading →

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Are you a bad decision-maker?

Posted on May 18, 2020 by decisionmanagementcommunity

Cassie Kozyrkov, the Head of Decision Intelligence at Google, just published the article with this title. She writes: The objective of this article is to teach you the most fundamental principle in decision analysis: “The quality of a decision should … Continue reading →

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Speeding up decision-making under COVID-19 pressure

Posted on April 21, 2020 by decisionmanagementcommunity

This is the title of today’s article by John Poppelaars: “Due to the lack of trustworthy information, hospitals need to make decisions on bed capacity, staffing, medicine and personal protective gear stock levels under high uncertainty. They need to make … Continue reading →

Posted in Coronavirus, Decision Making, Decision Optimization | Leave a comment

Decision Optimization during Covid-19

Posted on April 14, 2020 by decisionmanagementcommunity

During this critical period, technology experts are trying to help as all other professionals. Alain Chabrier from IBM provides examples of how Decision Optimization can be used for optimal nurse scheduling in over-constrained hospital situations, transferring of patients between different … Continue reading →

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AI-Driven Decision Making

Posted on October 30, 2019 by decisionmanagementcommunity

This HBR’s article “What AI-Driven Decision Making Looks Like” discusses the evolution of decision-making. Here are the stages: A decision-making model based on human judgement Data-supported decision making A decision-making that utilizes AI A decision-making that combines the power of … Continue reading →

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