Monthly Archives: May 2016

Peter Norvig Highlights Challenges of ML-based Development

Peter Norvig, Google Director of Research, presented “State-of-the-Art AI: Building Tomorrow’s Intelligent Systems” at the EmTech Digital conference. He compares traditional software programming to machine learning development and highlights the new challenges of debugging and verifying ML-based systems.

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Three Levels of Problem Solving

This post by Laura McLay mentions three levels for modeling that applies to decision-making: LEVEL 1: You solve the problem. LEVEL 2: You solve the problem in a cost-effective manner (e.g., using heuristics to get a quick solution that is “good … Continue reading

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DMN Interchange Software

As a community, we would like to maintain different software pieces that can be shared and reused by vendors and practitioners to promote Decision Management in general and the DMN standard in particular. So, we added a special section “Community Software” to … Continue reading

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DMN 1.2 RTF Meeting at DecisionCAMP

The Revision Task Force (RTF) for DMN 1.2 will be meeting in at Stony Brook University, New York, USA, on Wednesday 6th July, the day before DecisionCamp 2016.  The meeting is open only to members of the RTF, but others … Continue reading

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Does Machine Learning Require Programming?

“Machine learning is often touted as a field of study that gives computers the ability to learn without being explicitly programmed. Despite this common claim, anyone who has worked in the field knows that designing effective machine learning systems is a tedious … Continue reading

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The Triple Crown Of Process Improvement Standards

Denis Gagné from Trisotech will present “BPMN™, CMMN™, DMN™: An Intro To The Triple Crown Of Process Improvement Standards” at the free webinar on May 12, 2016

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Decision Modeling: Tacit Knowledge and Business Rules

In this post Jacob Feldman talks about two opposite learning directions taken by humans and decision automation: Human Learning: from Rules to Tacit Knowledge Decision Modeling: from Tacit Knowledge to Rules

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