Monthly Archives: July 2020

Regressing Testing Decisions

Today Carole-Ann Berlioz (Sparkling Logic) led the first post-DecisionCAMP-2020 Zoom Session presenting “Best Practices for Regressing Testing Decisions”. Watch her presentation and Q&A at https://www.youtube.com/watch?v=k8sDhKzU0_Y

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Decision analytics: What is AI?

Prof. Warren B Powell from Princeton University: “The most common types of AI come in three flavors: rules, machine learning, and making decisions (“optimization”). Rules are used for guiding computers to identify patterns or make recommendations, and have to be … Continue reading

Posted in Artificial Intelligence, Decision Making, Decision Optimization, Machine Learning | Leave a comment

Giving GPT-3 a Turing Test

GPT-3 is a general language model, trained on a large amount of uncategorized text from the internet. It isn’t specific to a conversational format, and it isn’t trained to answer any specific type of question. The only thing it does … Continue reading

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Implementing Rating Engines

Carole-Ann Berlioz from Sparkling Logic posted practical product-agnostic recommendations for  implementation of various decision engines aimed at calculating a fee or cost: rating engine, pricing engine, compensation calculation, fee calculation, claims calculation, etc. Link

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Teach Your Microservices to Dance

Jonathan Schabowsky from Solace.com focuses on the choreography of stateless event-driven microservices: “Orchestration entails actively controlling all elements and interactions like a conductor directs the musicians of an orchestra, while Choreography entails establishing a pattern or routine that microservices follow … Continue reading

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Blockchainizing Existing Databases

In his latest post Bozho wrote: “Blockchain has been a buzzword for the past several years and it hasn’t lived to its promises (yet). Blockchain is largely a shared database. Sharing data with other participants in a given business process … Continue reading

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“Why” of the BPMN+CMMN+DMN Triple Crown

Sandy Kemsley: “…agility often depends on the design decisions such as the split between process and decision logic – what do you model in as a decision, and what do you model as a process. Unsurprisingly, many DM practitioners don’t … Continue reading

Posted in Business Processes, Case Management, Decision Modeling, DecisionCAMP, Standards | Leave a comment

Climbing Towards Natural Language Understanding

This paper “Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data” won the “Best Theme Award” at the ACL2020 AI conference.  “… in contrast to some current hype, meaning cannot be learned from form alone. This … Continue reading

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BPMN/DMN & Test Scenarios Editors on the Chrome Store

Red Hat announced today that the BPMN, DMN open-source Editors for GitHub are available on the Chrome Web store! This allows Practitioners and Business Analysts to review BPMN and DMN assets available on GitHub. Link

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Consuming Optimization models for Operational Decisions

During DecisionCAMP-2020, we had several presentations devoted to incorporation of Optimization Engines in Business Decision Models: 1) Developing Decision Optimization Microservices for Real-World Decision-Making Applications by Jacob Feldman; 2)  cDMN: Combining DMN with Constraint Reasoning by a KU Leuven’s team.

Posted in Constraint Programming, Decision Modeling, Decision Optimization, Optimization, Scheduling and Resource Allocation | Leave a comment