Lifetime Achievement Award in Decision Management goes to Dr. Charles Forgy

The first Lifetime Achievement Award in Decision Management goes to Dr. Charles Forgy, the father of rule engines! It was just announced at DecisionCAMP-2018 – see the presentation. Congratulations and a big THANK YOU to Dr. Forgy from all members of the  Decision Management Community.

Posted in Events, Rule Engines and BRMS | Leave a comment

DecisionCAMP-2018 and LuxLogAI start on Sep. 17

DecisionCAMP-2018 starts at the Luxembourg on Sep. 17. The 3-days program is available here. It will feature well-known DM experts and practitioners.  The QnA panel “Real-world Business Decision Modeling” will be held on Sep. 18. The instructions for attendees can be found here. Together with other co-located events of the Logic for AI Summit there will be about 250 attendees. There will be several social and cultural events as well as a lot of opportunities for inter-conference networking.

Posted in Events | Leave a comment

Sparkling Logic is our new sponsor

DMCommunity welcomes a new premium sponsor Sparkling Logic Inc., a California-based company leading technology innovation in Decision Management. The most recent Sparkling Logic SMARTS Rio release empowers business and data analysts to discover, test, simulate, deploy and continuously improve data-informed business decisions. As usability, scalability, and security ramped up in Rio, the company set a path for some exciting innovation in its next release – Santiago – coming in Fall 2018. You may reach out to Sparkling Logic at DecisionCamp-2018 for some early news about Santiago!

Posted in Products, Sponsors | Leave a comment

Challenge Sep-2018 “Balanced Assignment”

This challenge deals with assignment of people to certain activities, for instance: assigning students to project groups or assigning professors to offices.  We are using the problem formulation and test data provided by Prof. Robert Fourer (AMPL). We expect that not only special optimization tools like AMPL but traditional business decision modeling tools can be used to define and solve the problem. See the challenge

Posted in Business Analytics, Challenges, Decision Modeling, Optimization | Leave a comment

Google’s What-If Tool for Machine Learning Models

Building effective machine learning (ML) systems means asking a lot of questions. It’s not enough to train a model and walk away. Instead, good practitioners act as detectives, probing to understand their model better: How would changes to a datapoint affect my model’s prediction? Does it perform differently for various groups–for example, historically marginalized people? How diverse is the dataset I am testing my model on?
To help to address these questions Google launched the What-If Tool, a new feature of the open-source TensorBoard web application, which let users analyze and better understand an ML model without writing code.

Posted in Explanations, Machine Learning | Leave a comment

How DMN could help to explain ML outcome

Dr Jan Purchase just published an article “Better AI Transparency Using Decision Modeling“, in which he describes several possible ways to provide reasonable explanations to the outcome of machine learning algorithms. Jan without hesitations describes practical limitations of the described approaches.  Jan and David Petchey will present two examples of their DMN-based approach to ML explanation at Decision CAMP 2018  that starts on Sep. 17 in Luxembourg. See also our post “Decision Automation and Explanations”.

Posted in Decision Modeling, DMN, Machine Learning | Leave a comment

Launch of Dataset Search

Google launched Dataset Search, which can help researchers, scientists, and others around the world find open datasets! Dataset Search lets you find datasets wherever they’re hosted, whether it’s a publisher’s site, a digital library, or an author’s personal web page. The approach uses schema.org for describing datasets and anybody can publish their data following guidelines for dataset providers. Google encourages dataset providers, large and small, to adopt this common standard so that all datasets are part of this robust ecosystem. DM Community may utilize these capabilities for creation of publicly available Repository of Decision Models for different business domains. Continue reading

Posted in Artificial Intelligence, Business Analytics, Decision Models | Leave a comment