Best Holiday Wishes

Posted on December 24, 2021 by decisionmanagementcommunity

Merry Christmas and Happy New Year to all members, readers, and friends of the Decision Management Community! Here is a musical present from Dr. Alan Fish: Listen

Posted in Art, Challenges, Misc | 1 Comment

Connecting the Dots

Posted on December 20, 2021 by decisionmanagementcommunity

If someone gives us a collection of points, how should we connect them? Should we try to pair them up? Should we try to join them together to form a single loop? Should we try something else? And once we’ve decided on the rules we’re going to follow, how should we go about trying to achieve the best result? On Dec. 21 at noon EST Robert Bosch, professor of mathematics at Oberlin College, will share how he uses graph theory and mathematical optimization to design connect-the-dots eye candy: labyrinths, knight’s tours, TSP Art, and string art. Link

Posted in Art, Constraint Programming, Optimization | Leave a comment

About the Log4j Vulnerability

Posted on December 20, 2021 by decisionmanagementcommunity

This week many organizations went through the scare caused by critical security vulnerability of commonly used Apache Log4j Java-based logging utility. Shortly after Apache announcement attackers in the wild began exploiting the Log4j vulnerability, prompting government cybersecurity institutions worldwide, including the US Cybersecurity and Infrastructure Security Agency, to issue alerts urging organizations to patch their systems immediately. The majority of Java-based decisioning platforms quickly provided advices and updates to their customers. Make sure that your application is safe by relying on the latest Log4J Release 2.16.0 (not 2.15.0!) that mitigates this vulnerability. Link

Posted in Open Source, Software Development | 1 Comment

DecisionCAMP Session “Learning Executable Constraint Models” on Dec 15, 2021

Posted on December 8, 2021 by decisionmanagementcommunity
The next DecisionCAMP session will be held on Wed, December 15, 2021 at 12:00 PM EST (New York Time). Title: “Learning Executable Constraint Models from Positive and Negative Examples”
Presenter: Helmut Simonis, Insight Research Centre for Data Analytics in Ireland. Read more and Register here. Watch recording at https://www.youtube.com/watch?v=GsBDkPyZkDg

Posted in Decision Modeling | Leave a comment

Guiding mathematical intuition with AI

Posted on December 5, 2021 by decisionmanagementcommunity

It is clear that intuition plays an important role in elite performance in many human pursuits. In this work the authors demonstrate a framework for mathematicians to use machine learning that has led to mathematical insight across two distinct disciplines: one of the first connections between the algebraic and geometric structure of knots and a proposed resolution to a long-standing open conjecture in representation theory. Rather than use machine learning to directly generate conjectures, they focus on helping guide the highly tuned intuition of expert mathematicians, yielding results that are both interesting and deep. Link

Posted in Artificial Intelligence, Human-Machine Interaction | Leave a comment

Christmas Challenge 2021

Posted on December 1, 2021 by decisionmanagementcommunity

2022 is around the corner, and Santa again creates a plan for his elves to determine how reindeer will pull his sleigh. Our Challenge Dec-2021 is based on Santa’s plan described by Mike Shenk:

Twas the night before Christmas, and at the North Pole
The last-minute planning was taking its toll.
As Santa was hastily making a scheme
For the placement of deer in his sleigh-pulling team..

We expect our readers will present Santa’s plan as a nice-looking decision model that determines the order of the reindeer and send their solution using any tool (or no tools) to DecisionManagementCommunity@gmail.com. Link

Posted in Decision Modeling | Leave a comment

Semantic Rules & Machine Learning

Posted on November 25, 2021 by decisionmanagementcommunity

Dr. Walid Saba discusses the limitations of the data-driven, statistical and machine learning (ML) approaches that are the currently dominant paradigm in the use of natural language processing (NLP) in text analytics. Using very simple examples, he argues that these methods can produce results that are, at best, Probably, Approximately, Correct. Moreover, these methods are not scalable as they require continuous training on massive amounts of data that are often not available. Instead, he argues for a semantic counter-revolution where deep semantic analysis as well as ontological knowledge repositories are employed. Link

Posted in Knowledge Representation, Logic and AI, Machine Learning, Natural Language Processing | Leave a comment

Management Decision Market – Global Forecast to 2026

Posted on November 24, 2021 by decisionmanagementcommunity

MarketsAndMarkets just published report “Management Decision Market by Software, Service, Deployment Type, Function, Organization Size, Industry, and Region – Global Forecast to 2026“. The report forecasts the global Management Decision market growing from USD 4.8 Billion in 2021 to USD 9 Billion by 2026, at a CAGR of 13.5% during the forecast period. Link

Posted in Decision Modeling | Leave a comment

Open Source: 1995 expectations and 2021 reality

Posted on November 16, 2021 by decisionmanagementcommunity

Benedict Evans wrote on Nov 16: “When I arrived at university in 1995, all the CS students were running Linux, and they were all convinced that Linux would crush Microsoft, open source would destroy proprietary software, no-one would ever run Windows and no-one would ever buy software again. About half of that happened. Open source did take over the tech industry and it’s inside everything we use, but we don’t write our own apps, and in fact SaaS is the return of closed software.“

Posted in Decision Modeling | Leave a comment

AI-driven search engine You.com takes on Google

Posted on November 14, 2021 by decisionmanagementcommunity

You.com, which bills itself as the world’s first open search engine, announced its public beta launch along with $20 million in funding. “The first page of Google can only be modified by paying for advertisements, which is both annoying to users and costly for companies. Our new platform will enable companies to contribute their most useful actual content to that first page, and — if users like it — they can take an action right then and there. Most companies and partners will prefer this new interface to people’s digital lives over the old status quo of Google.” Link You.com

Posted in Decision Modeling | Leave a comment