Monthly Archives: January 2019

Google: Your Deep-Learning-Tools-for-Enterprises Startup Will Fail

Today Peter Norvig, the Research Director at Google, posted at LinkedIn: Whether you like it or not, selling enterprise tools for machine learning is really hard. Why? The industry is still fragmented, too many different components and moving parts without standardization, … Continue reading

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Adversarial Machine Learning

Machine learning techniques were originally designed for stationary and benign environments in which the training and test data are assumed to be generated from the same statistical distribution. However, when those models are implemented in the real world, the presence of … Continue reading

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Decision Optimization fueling growth in Energy and Utilities

Decision optimization and machine learning techniques are driving better resource planning and scheduling decisions at Energy & Utilities for a range of use cases like power generation planning, pricing optimization and more. Link

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DecisionCAMP-2019: Sep 17-19, Bolzano, Italy

The next DecisionCAMP-2019 will be held on Sep 17-19, 2019 in Bolzano, Italy.  The event is organized by our Community and will be co-located with RuleML+RR and GCAI at the Bolzano Rules and Artificial Intelligence Summit. DecisionCAMP-2019 will explore the current state of the … Continue reading

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AI to Tackle Real-Time Strategy Games

Google’s Deepmind has released an attempt at tackling StarCraft, considered to be one of the most challenging Real-Time Strategy (RTS) games, that has emerged by consensus as a “grand challenge” for AI research. Starcraft has many more complex elements than Chess … Continue reading

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A DMN Whitepaper

Gil Ronen just authored a white a paper “From Business Rules to Decision Management using DMN” sponsored by Trisotech. Link

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DMN TCK is moving to DMN 1.2

The DMN TCK is looking for as many DMN vendors as possible to submit their execution results. If you have not done so yet, we invite you to come and participate into what is a true measure of DMN execution … Continue reading

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2019 Predictions from Top Influencers published the article “The Year Ahead for BPM — 2019 Predictions from Top Influencers” including: Jakob Freund (Camunda), Denis Gagne (Trisotech), Max Pucher (Isis Papyrus), Gero Decker (Signavio), Steven Stanton (FCB Partners), Brian Reale (ProcessMaker), Phil Simpson (Red Hat), James Taylor (Decision Management Solutions), Romeo Elias … Continue reading

Posted in Business Processes, Digital Transformation, RPA, Trends | Leave a comment

Statistical Methods with Domain-based Models

This WSJ article gives examples when ML-based solutions have been enhanced by the inclusion of pre-defined domain-specific models. “Machine learning is a statistical modeling technique, which finds and correlates patterns between inputs and outputs without necessarily capturing their cause-and-effect relationships. … Continue reading

Posted in Business Analytics, Explanations, Machine Learning | Leave a comment

Decision Simulation

“Decision services can have unintended results that may or may not be consistent with the original intent of the business. The best way to gauge the impact of a new model once it goes into production is to first run … Continue reading

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