Category Archives: Decision Modeling

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.

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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

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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

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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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Challenge March-2020: Paid Sick Leave Requirements

Employers are required to provide paid sick leave to workers following very complex regulations defined by states, and adjusted by counties, cities, unions, and other entities. Our March-2020 Challenge asks you to define and implement decision services that support a relatively … Continue reading

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How Digital Decisioning drives AI and ML Success

James Taylor published an article “How to Succeed with AI & ML in 2020“: “It’s clear that Artificial Intelligence (AI) and Machine Learning (ML) are going to have a huge impact on businesses in the coming years. Yet most companies … Continue reading

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UK Student Loan Policy: Model – Execute – Visualize

Decision modeling is a powerful means of representing a business policy in a way which can readily understood by business subject matter experts and – once approved – be directly executed as part of automated decision making within a company. … Continue reading

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DMN 1.3 Approved

The new version 1.3 of the Decision Modeling and Notation (DMN) standard was approved by the OMG AB on Dec. 9, 2019. Apart from numerous corrections and clarifications, it gives us visual grouping, temporal reasoning, and better examples. It should … Continue reading

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