Monthly Archives: January 2016

We Received 19(!) Solutions for the “Vacation Days” Challenge

This month we challenged our community to submit solutions for notorious decision model “Calculate Vacation Days”.  We’ve already received 19 solutions using 9 different products! So, now we all will wait for Prof. Jan Vanthienen to provide his analysis of these solutions and … Continue reading

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Charles Barkley vs. Analytics

Basketball legend Charles Barkley “dealt a death blow to the burgeoning analytics industry” when he called Houston Rockets General Manager “one of those idiots who believes in analytics.” Read more about the difference between human experience (playing sports) and an abstraction … Continue reading

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Marvin Minsky, Pioneer in Artificial Intelligence, Dies at 88

Marvin Minsky, who combined a scientist’s thirst for knowledge with a philosopher’s quest for truth as a pioneering explorer of artificial intelligence, work that helped inspire the creation of the personal computer and the Internet, died on Sunday night in … Continue reading

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Wall Street Investing in AI

A quote from the Goldman Sachs podcast: “We’re really at the very beginnings in the world of recognizing and seeing how you can take AI, artificial intelligence, and really provide business applications around it. That’s an area that we’re also investing … Continue reading

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Vacation Days Challenge

Jan-2016 Challenge “Vacation Days” generates a lot of interest among practitioners and experts. We’ve already received various solutions from 4 sources: OpenRules, DMN/Oracle, Progress Corticon, and Trisotech. You still have time to submit your solution that may become a choice for Prof. … Continue reading

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Join Q&A Forum

We’ve created Q&A Forum  as a Google Discussion Group – see https://groups.google.com/forum/#!forum/dmcommunity. All Decision Management practitioners may join the forum and post questions and/or provide answers.

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New Model for Learning by Prof. Vladimir Vapnik

During the last 50 years, a strong machine learning theory has been developed. The common observation is that human students require much less examples for training than a learning machine. Why? Prof. Vladimir Vapnik explains: “that it is because the human students … Continue reading

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