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 Decision Management practice, real-world use cases, new applications and trends of digital decisioning. If you are interested in sharing your expertise, join DecisionCAMP-2019 as a speaker! The Call for Presentations is now open, and you may submit an abstract of your presentation before March 31, 2019. If you intent to contribute and/or have any questions, please send email to the DecisionCAMP ChairLink

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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 or Go: lots of different things going on, information is imperfect and you have to pay in real time against the opponent. So, the new AI techniques become applicable to more real-world situations. Link

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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 compliance, and the best way to promote the adoption of this very important open standard.

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2019 Predictions from Top Influencers

BPM.com 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 (intellect), Anatoly Belaychuk (Comindware), Jacob Feldman (OpenRules), Maureen Fleming (IDC), Malcolm Ross (Appian), Nolan Greene (Pega), Lloyd Dugan (BPM.com), Jim Sinur (Aragon Research), Miguel Valdés Faura (Bonitasoft), E. Scott Menter (BP Logix), Peter Fingar (peterfingar.com), Mathias Kirchmer (BPM-D), Keith Swenson (Fujitsu North America) Link

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Statistical Methods with Domain-based Models

ml+domainmodelsThis 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. Data derived from human behavior is dynamic and ever-changing. Such messy data is difficult to analyze to make predictions.” Link Continue reading

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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 a simulation, using software that sends pertinent data through the decision service and analyzes the results. Business users can then access these simulations to validate the decision logic and business rules and assess potential business impact prior to deployment into a production environment.” Link

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Java 2019 Licensing Explained

If you try to download the latest Java, you may be scared by the following warning:
The question: is Java not free anymore? Continue reading

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Process 2019

Jim Sinur’s post “Process 2019” identifies three major themes for process in 2019: 1) Customer Experience; 2) Automation; 3) Actions at the Edge. Here are a few quotes: “we will see a convergence of customer mapping, human computer interface and visible explainable intelligence working in concert“; “cognitive assisted human decisions and actions“; “Goal driven and constraint guided processes of various size and scopes will be acting at the edge in an autonomous fashion thus putting a premium on better forms of decision management and action controlLink

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