Monthly Archives: September 2018

Tim Berners-Lee: Game On!

With an ambitious decentralized platform, the father of the web  Sir Tim Berners-Lee will launch Inrupt, a startup that he has been building, in stealth mode, for the past nine months. Its mission is to turbocharge a broader movement afoot, among … Continue reading

Posted in Trends, Semantic Web, Innovation | Leave a comment

Amazon automates buying and stocking decisions

Machines are beating people at the critical inventory decisions that separate the winners and losers in retail. For the staffers deciding how many books, games or plastic pool toys to peddle, the tradeoff can be stark: Order too little and … Continue reading

Posted in Business Analytics, Decision Modeling | Leave a comment

Lifetime Achievement Award in Decision Management goes to Dr. Charles Forgy

The first Lifetime Achievement Award in Decision Management goes to Dr. Charles Forgy, the father of rule engines! It was just announced at DecisionCAMP-2018 – see the presentation. Congratulations and a big THANK YOU to Dr. Forgy from all members of … Continue reading

Posted in Events, Rule Engines and BRMS | Leave a comment

DecisionCAMP-2018 and LuxLogAI start on Sep. 17

DecisionCAMP-2018 starts at the Luxembourg on Sep. 17. The 3-days program is available here. It will feature well-known DM experts and practitioners.  The QnA panel “Real-world Business Decision Modeling” will be held on Sep. 18. The instructions for attendees can … Continue reading

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Sparkling Logic is our new sponsor

DMCommunity welcomes a new premium sponsor Sparkling Logic Inc., a California-based company leading technology innovation in Decision Management. The most recent Sparkling Logic SMARTS Rio release empowers business and data analysts to discover, test, simulate, deploy and continuously improve data-informed business decisions. As usability, … Continue reading

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Challenge Sep-2018 “Balanced Assignment”

This challenge deals with assignment of people to certain activities, for instance: assigning students to project groups or assigning professors to offices.  We are using the problem formulation and test data provided by Prof. Robert Fourer (AMPL). We expect that not … Continue reading

Posted in Business Analytics, Challenges, Decision Modeling, Optimization | Leave a comment

Google’s What-If Tool for Machine Learning Models

Building effective machine learning (ML) systems means asking a lot of questions. It’s not enough to train a model and walk away. Instead, good practitioners act as detectives, probing to understand their model better: How would changes to a datapoint affect … Continue reading

Posted in Explanations, Machine Learning | Leave a comment