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Category Archives: Decision Optimization
OptaPlanner continues as Timefold
Geoffrey De Smet: OptaPlanner, an Open Source project for planning optimization, has entered a new chapter. “The project I worked on for seventeen years, has matured under Red Hat’s wings for the past ten years. Last year, when Red Hat’s … Continue reading
Decisions as Code
NextMV (“next move”) is a startup that provides solutions for Decision Optimization in the Routing, Scheduling, Packing, and other domains. “Building and shipping algorithms is tough. (87% of algorithms never make it to production.) Even when an algorithm makes it … Continue reading
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Challenge May-2023 “Next Best Action”
“Next best action” is a popular decision-making strategy. But how to define the “best” next action? This challenge may demonstrate it. Consider an NxN grid of lightbulbs. We are given an initial state where some of the bulbs are off and some are on. Then, … Continue reading
Christopher Columbus, global warming and mathematical optimization
In this highly popular article IBM’s Alex Fleischer wrote: “One of the levers is the mathematical optimization of business decision making, made possible by data and the deployment of decision models associated with constraint programming. Or, put more simply: an algorithm … Continue reading
AI is not equal to ML
Alain Chabrier from IBM Decision Optimization team in his Medium.com article argues that not only “AI != ML” pointing to the difference between Data-driven and Knowledge-driven decision models. He even claims that “Decision Optimization has more impact on the real … Continue reading
Pragmatic Approach to Predictive Decision Automation
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
Solving Assembly Line Balancing Problem
Philippe Laborie from IBM CPLEX team shared several models for representation and solving an optimization problem in assembly line balancing research. His solutions are shown in Python CP Optimizer and OPL: they are not only very compact but highly efficient. … Continue reading
Covid-19 and Decision Optimization
Alex Fleischer from IBM ILOG team wrote: “First, decision optimization can help reduce inbalance and help us live with Covid-19. Second, Optimization can help us look for a vaccine or a medicine. Third, Optimization will once we have some vaccine … Continue reading
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Time to deliver a decision optimization model to the business user
Alain Chabrier and Alex Fleischer from IBM Decision Optimization team published the article “Decision Optimization: Speed is not enough” “Many tend to think that performance is the holy grail, and the choice of an optimization engine is mostly based on … Continue reading
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The AI Evolution and the Challenge of Decision Automation
In his latest post Prof. Warren Powell contrasts “using AI to automate decisions to Tesla’s aggressive use of robotics to automate their assembly lines. It is important to understand the most common use of AI today (machine learning) with the … Continue reading
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