Category Archives: Decision Modeling

Challenge Sep-2020: Compressing Decision Tables

Using common sense people can replace larger decision tables with smaller ones. However, when a decision table includes more attributes (columns), the manual compression of the decision table becomes difficult or impossible even if you allow a certain level of … Continue reading

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How AI Will Automate 70% Of Software Development

On Sep 24 at noon EST Mike Gualtieri, VP/Principal Analyst at Forrester and our Keynote Speaker at DecisionCAMP-2019, will run the webinar “The Future of Software Development“. Mike asserts that “70% of business software is non-creative and doesn’t require computer-genius … Continue reading

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Self-Learning Decision Models

The next monthly DecisionCAMP session with this topic is scheduled to run on Sep 4 at 12:00 PM EST – get a Zoom URL at our Slack channel. Here is the abstract: “A new open source RuleLearner.com is oriented to business … Continue reading

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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

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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.

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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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