Category Archives: Decision Modeling

Extracting Decision Models from Text

KU Leuven scientists published the paper “Extracting Decision Model and Notation models from text using deep learning techniques“. It is the first attempt to use deep learning to extract DMN models from text. They classify sentences describing logic or dependencies, … Continue reading

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Operations Research is the most underrated AI field

Berk Orbay published a nice article An Ode to Operations Research and the Future: “Operations Research (OR) is the most underrated “Artificial Intelligence” field. Is OR actually AI? It depends how you classify AI. If it is about decision making … Continue reading

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A Building Blocks Approach

A building blocks approach starts with the universe of possible solutions and determines the common fundamental elements that constitute such solutions. It then goes about standardizing these fundamental elements and commoditizing them. This enables an ecosystem of actors who have the … Continue reading

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Challenge July-2022 “Evaluate Team Performance”

In this Challenge you need to evaluate performance of different teams based on efficiency of their players during different games. Each player receives 5 points for “best” efficiency, 3 points for “better” efficiency, 2 for “good” efficiency. You need to … Continue reading

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Digital Decisioning => Decision Intelligence

The term “Decision Intelligence” was popularized in 2019 book “How Decision Intelligence Connects Data, Actions, and Outcomes for a Better World“. Google launched a decision intelligence department. Gartner listed “Decision Intelligence” among the Top Strategic Technology Trends for 2022. Forbes … Continue reading

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Challenge May-2022 “Medical Claim Processing”

Claim processing is one of the most popular area where rule engines demonstrate their power. In this challenge we ask you to build a decision service that deals with for a typical claim validation issue related to the International Statistical Classification of … Continue reading

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Bring AI into the Hands of Business Users

That’s exactly what vendors of Digital Decisioning Tools and DM practitioners are successfully doing for the last 20 years. However, having roots in the notorious expert systems, they are careful not to overuse the words “Artificial Intelligence”. They prefer to … Continue reading

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AI in Decision Domain 

An interesting discussion has started by this LinkedIn post: Typically, we analyze data and models from the operational domain. However, no amount of crunching on this data will reveal opportunities for decision advantage – because there is no information about … Continue reading

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Using Episodic Memories to Predict Upcoming Events

This paper addresses an important problem in control of episodic memory to be used to predict upcoming states in an environment where past situations sometimes reoccur. One of the key benefits is reducing the risk of retrieving irrelevant memories. Read more

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Applying DMN to Model and Execute Legislations

Date: Wed, February 23, 2022 at 12:00pm EST Title: “Applying DMN to Model and Execute Legislations” Presenter: Vincent van Dijk from Pharosius.nl.  RecordingAbstract: In this session Vincent van Dijk will share his experience applying DMN for building the Digital System for Environment and … Continue reading

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