Monthly Archives: June 2017

Google’s “AI-first” Strategy

On May 16 Peter Norvig, Research Director at Google, explained Google’s “AI first” vision in his Quora’s answer:  With information retrieval, anything over 80% recall and precision is pretty good—not every suggestion has to be perfect, since the user can ignore … Continue reading

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Decision Modeling Sessions at RuleML+RR 2017

This year DecisionCAMP is again co-located with the RuleML+RR conference devoted to the semantic-technology & business rules. Here are the finalized schedules for both events: RuleML+RR 2017 Schedule DecisionCAMP 2017 Schedule Below is the list of RuleML+RR sessions related to decision … Continue reading

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DMN Interchange in Action

The DMN Standard is already supported by different vendors and it means that real (not theoretical) interchangeability of the same DMN-based business decision models became a reality – see examples at this article. If you attend the RuleML+RR+DecisionCAMP conference in London … Continue reading

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bpmNEXT-2017 videos are now available

bpmNEXT-2017 was held in April and included many interesting presentations. You can watch them all from here.  Don’t miss Decision Management related presentations: 

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The First Solution for June-2017 Challenge – More on the Way

We have received the first decision model for the June-2017 Challenge implemented by Mike Parish using Corticon. More decision modeling practitioners informed us that they are working on their best decision models for the same problem (described in the Section … Continue reading

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Business Analysis on One Page

Kevin Brennan tried to present on one page “what the core of business analysis is”:

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Automating Logical Reasoning

“For many years, computer scientists have sought to create decision making tools based on the way humans reason.  Early expert systems in the 1980’s and 1990’s were quite limited, but they were central to the first wave of commercial success … Continue reading

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Is Data Science Dead?

This new article insists it is. “Data Science is dead. It is quickly getting replaced by stuff great data scientists built. Every big cloud vendor is doing it. Need to do a churn analysis? Done. Need to predict energy efficiency? Done. … Continue reading

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