Monthly Archives: December 2019

Reindeer Ordering Rules

It’s a good time to revisit our Christmas Challenge: “Santa always leaves plans for his elves to determine the order in which the reindeer will pull his sleigh…” Link

Posted in Challenges | Leave a comment

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

Posted in Artificial Intelligence, Decision Modeling, Machine Learning | Leave a comment

Jim Sinur’s AI Trends for 2020

“The future looks promising after several years of experimenting with AI. It’s not all fantastic and there will be fakes and failures. In fact, there will be high profile fails, but they are unlikely to cause another AI Winter. Even if … Continue reading

Posted in Artificial Intelligence, Trends | Leave a comment

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

Posted in Case Studies, Decision Modeling, DMN | Leave a comment

DecisionCAMP-2020 Announced

DecisionCAMP is the major annual international event oriented to Business Rules and Decision Management practitioners with a strong technical background. In 2020 it will be held on June 29-July 1 in Oslo, Norway. DecisionCAMP-2020 is organized by DMCommunity.org and will … Continue reading

Posted in DecisionCAMP, Events | Leave a comment

Christmas Challenge at Kaggle

“Santa has exciting news! For 100 days before Christmas, he opened up tours to his workshop. Because demand was so strong, and because Santa wanted to make things as fair as possible, he let each of the 5,000 families that … Continue reading

Posted in Challenges, Decision Optimization | Leave a comment

New release of MiniZinc

MiniZinc is a free and open-source constraint modeling language. You can use MiniZinc to model constraint satisfaction and optimization problems in a high-level, solver-independent way, taking advantage of a large library of pre-defined constraints. Your model is then compiled into FlatZinc, a solver input language … Continue reading

Posted in Constraint Programming, Decision Optimization | Leave a comment

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

Posted in Decision Modeling, DMN, Standards | Leave a comment

Explainability and Interpretability

Explainability of decisions produced by machines is one of the hottest topic these days (see XAI). Explainable AI usually makes decisions using a complicated black box model, and uses a second (posthoc) model created to explain what the first model … Continue reading

Posted in Artificial Intelligence, Explanations | Leave a comment

How can we persuade people to trust an algorithm?

On Dec. 4 Andrew Ng listed several important techniques  that can persuade people to trust an algorithm. “Trust isn’t just about convincing others that our solution works. I use techniques like these because I find it at least as important … Continue reading

Posted in Artificial Intelligence, Explanations | Leave a comment