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Category Archives: Decision Modeling
Microservices Design – API Gateway Pattern
Decision Microservices and Serverless Architecture quickly become the de-facto approach for many modern decision-making applications. “The goal of the microservices is to sufficiently decompose/decouple the application into loosely coupled microservices/modules in contrast to monolithic applications where modules are highly coupled … Continue reading
Posted in Decision Modeling, Microservices, Serverless
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Alternatives to ‘If-Then’ Statements
The Medium’s article “5 Alternatives to ‘If’ Statements for Conditional Branching” states: “There’s some thinking in the programming community that if should be considered harmful or a code smell. Regardless of the validity of this claim, there may be cases where if isn’t the best … Continue reading
Posted in Decision Modeling
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Government Rules as Code (RaC)
BRCommunity.com just published “The Distilled Principles of Rules as Code (RaC): How to Produce Better Rules” by Pim Willemstein and Ronald G. Ross. RaC is an idea that addresses how law and regulations should be simultaneously produced in natural language … Continue reading
Posted in Decision Modeling
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A Simple Decision Service Benchmark
Today we published Feb-2021 Challenge that contains a simple benchmark to compare performance of different decision service implementations. It has only one decision table and a set of JSON input structures. We expect that DM practitioners and vendors will implement the … Continue reading
Posted in Decision Modeling
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DecisionCAMP Feb-10 Session “Decision Governance”
On Feb 10, 2021 at 12:00 PM EST Larry Goldberg from Sapiens Decision will present “Decision Governance”. “Today we understand that decisions made in business systems at scale determine not only the financial success of each organization, but indeed its … Continue reading
Posted in Decision Modeling
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The semantic future of the web
“Much of the data currently exchanging hands can be viewed as human-centric. We are not the only consumers of the web though, and someday that data may be made easier to read by those non-human consumers… we humans can determine … Continue reading
Posted in Decision Modeling
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Pragmatic Approach to Predictive Decision Automation
In this webinar Red Hat specialists explain how explainable Predictive Decisioning can help us trust AI. Their approach combines AI/ML, decision optimization, and traditional business rules to better understand the factors that contribute to an automated decision. They use the … Continue reading
AWS is open sourcing Babelfish for PostgreSQL
For as long as databases have existed, people have been trying to migrate to something new but the reality of migrating databases is hard. On Dec. 1 AWS announced something very different: it is open sourcing Babelfish that acts as … Continue reading
Posted in Database, Decision Modeling
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Gartner Magic Quadrant for Cloud Platforms
Cloud adoption is the new normal for customers of all industries, sizes, and geographies. The majority of Digital Decisioning vendors today support deployment of decision services on different cloud platforms. The 2020 Gartner Magic Quadrant for Cloud Infrastructure & Platform … Continue reading
Posted in Cloud Platforms, Decision Modeling
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Decision Table Simplification
In response to our Sep-2020 Challenge, Dr. Bob Moore submitted a very interesting analysis of decision table compression/simplification approaches: “Understand what a decision table is for, before thinking about compressing it! There is a trade-off between compression and maintainability. We … Continue reading
Posted in Decision Modeling
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