Category Archives: Decision Modeling

Understanding the business problem is the biggest challenge

The new TechCrunch’s post states: “The most important question in data science is not which machine learning algorithm to choose or even how to clean your data. It is the questions you need to ask before even one line of … Continue reading

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Too many AI researchers think real-world problems are not relevant

MIT Technology Review published an article with this title. “Many machine learning papers that describe new applications present both novel concepts and high-impact results. But even a hint of the word “application” seems to spoil the paper for reviewers. As … Continue reading

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Champion/Challenger and Operational Negation

In May Stacey West from FICO took a thorough look at Champion/Challenger strategies testing and how it can be successfully implemented to enhance your organisation’s decisions. In her new post she is discussing how Champion/Challenger strategies may become unreadable because … 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

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

Consuming ML models for Operational Decisions

During DecisionCAMP-2020 Vendor’s Panel, Guilhem Molines announced availability of new IBM Automation Decisions Services (ADS). This article describes how ADS incorporates Machine Learning in Decision Modeling. Link

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July-2020 Challenge “Spatial Business Rules”

Our July Challenge asks you to implement spatial rules oriented to business users not familiar with GIS APIs. Examples of the rules include: 1) If at least one hospital is within 5 km from the Airport increase Spatial Significance Score … Continue reading

Posted in Challenges, Decision Modeling, DMN | 1 Comment

Building Decision Optimization Microservices

A new LinkedIn’s post “Building a complete cloud-based Decision Optimization Service” converts our April-2020 Challenge “Doctor Planning” to a complete decision optimization application called “Worker Scheduler“. It demonstrates that using modern cloud-based architecture and popular open-source tools such as JavaSolver, … Continue reading

Posted in Cloud Platforms, Decision Modeling, Decision Optimization, Human-Machine Interaction, Microservices | Leave a comment

Learn DMN in 15 minutes with Kogito

DMN is already simple and easy to understand at first glance. However, new adopters generally want to check a quick overview and learn about the most important parts, before jumping on a more in-depth journey. Drools team just announced the … Continue reading

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The ODM Rules Cookbook by Peter Warde

Peter Warde created ODM Rules Cookbook as a collection of resources (source code, frameworks, blueprints, APIs, kits, building-blocks, documents, working examples) in a GIT repository that can be used in the design and development of IBM Operational Decision Manager business … Continue reading

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