Author Archives: jacobfeldman

About jacobfeldman

CTO at www.openrules.com http://www.linkedin.com/in/jacobfeldmanopenrules

Pragmatic Approach to Predictive Decision Automation

Posted on December 10, 2020 by jacobfeldman

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 →

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

Solving Assembly Line Balancing Problem

Posted on December 3, 2020 by jacobfeldman

Philippe Laborie from IBM CPLEX team shared several models for representation and solving an optimization problem in assembly line balancing research. His solutions are shown in Python CP Optimizer and OPL: they are not only very compact but highly efficient. … Continue reading →

Posted in Constraint Programming, Decision Optimization | Leave a comment

December Challenge “Virtual Chess Tournament”

Posted on November 30, 2020 by jacobfeldman

As the Queen’s Gambit movie brings attention to chess, try to solve our Dec-2020 Challenge: “Three world champions Fischer, Kasparov, and Karpov played in a virtual chess tournament. Each player played 7 games against two other opponents. Each player received … Continue reading →

Posted in Challenges | Leave a comment

Does most software die young?

Posted on November 26, 2020 by jacobfeldman

This article by Allan Kelly discusses a provoking statement “Most software has a very short lifespan“. “Most software isn’t successful and therefore dies. Software which isn’t used or doesn’t generate enough benefit is abandoned, modifications cease and it dies. Successful … Continue reading →

Posted in Software Development | Leave a comment

A Farewell to In-Person Conferences? Anti-notes from DecisionCAMP-2020

Posted on September 22, 2020 by jacobfeldman

This year almost all major conferences went virtual. Our 12th DecisionCAMP-2020 on June 29-July 1 in Oslo also went virtual and became a kind of success. No wonder: the registration count was 3-4 times larger than usual, people did not … Continue reading →

Posted in Decision Modeling | Leave a comment

Lex Fridman: Escaping the Local Optimum of Low Expectation

Posted on April 3, 2020 by jacobfeldman

Many of well-known experts in the knowledge representation, decision management, machine learning, and AI in general are interested to know what is in the mind of the next generation of AI researchers. Lex Fridman is a young but already well-known … Continue reading →

Posted in Artificial Intelligence | Leave a comment

DecisionCAMP is Back on Track: 100% Virtual and 100% Free

Posted on March 28, 2020 by jacobfeldman

DecisionCAMP-2020 will be 100% virtual and 100% free! We will keep the same dates: June 29-July 1. As you don’t have to travel anymore, consider to submit an abstract of your remote presentation – the submission deadline has been extended … Continue reading →

Posted in DecisionCAMP, Events | Leave a comment

Book “Business Rules: Management and Execution”

Posted on October 18, 2019 by jacobfeldman

This book “Business Rules: Management and Execution” has been just published at Amazon.  It consists of 2 parts: Part 1: Business Rules Management Part 2: Execution. Award Winning Case Studies Link

Posted in Business Rules, Case Studies | Leave a comment

Notes from DecisionCAMP-2019

Posted on October 5, 2019 by jacobfeldman

DecisionCAMP-2019 in beautiful Bolzano on Sep. 17-19 will go down in history as one of the most successful DecisionCAMPs. As usual, it was packed with interesting presentations and even more interesting formal and informal discussions. I will try to write … Continue reading →

Posted in Events, Trends | 3 Comments

DeepMind’s Losses and the Future of AI

Posted on August 14, 2019 by jacobfeldman

Wired just published an article that analyzes  how the recent DeepMind’s losses will affect AI in general. “The investment community notices significant losses; if DeepMind’s losses were to continue to roughly double each year, even Alphabet might eventually feel compelled … Continue reading →

Posted in Artificial Intelligence, Trends | Leave a comment