Monthly Archives: May 2019

Real Time Decision Monitoring

The latest release of IBM ODM allows monitoring decision-making in real time. It includes a built-in Decisions dashboard of standard decision metrics such as decisions per second, the number of active rulesets, the number of times a rule or task … Continue reading

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Decisioning Workshop at BPM 2019

BPM 2019 includes the 7th International Workshop on DEClarative, DECision and Hybrid approaches to processes (DEC2H 2019) that will take place on 2 September 2019 in Vienna, Austria. The main focus is in the application and challenges of decision- and rule-based modelling in … Continue reading

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Java Solver: Modeling and Solving Decision Optimization Problems

Dr. Jacob Feldman announced availability of a new open source product “Java Solver” that provides a very simple API for modeling and solving optimization problems in Java. This is probably the simplest API for adding optimization components to business decisioning … Continue reading

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What a good modern data analyst has to master

Andriy Burkov, ML at Gartner and author of The Hundred-Page Machine Learning Book, shares what a good modern data analyst has to master:

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Decision Microservices

Nowadays microservices quickly become a highly popular architectural approach showing a lot of benefits over the legacy style of monolithic single applications. The latest DMN specifies Decision Services and more and more people deploy their decision projects as Decision Microservices. … Continue reading

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State-Based Evaluation of Rules

Ron Ross: “In state-based evaluation of rules, current states of affairs are captured and monitored in real-time by a ‘watcher’ external to processes. This ‘watcher’ automatically intervenes whenever a violation of a rule occurs. The watcher resets the activity – i.e., … Continue reading

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Data Science vs. Decision Science

Data Science Central posted this interesting comparison: “Data scientist is a specialist involved in finding insights from data after this data has been collected, processed, and structured by data engineer. Decision scientist considers data as a tool to make decisions … Continue reading

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