The AI Summer

Posted on July 16, 2024 by decisionmanagementcommunity

Ben Evans: “Hundreds of millions of people have tried ChatGPT, but most of them haven’t been back. Every big company has done a pilot, but far fewer are in deployment. Some of this is just a matter of time. But LLMs might also be a trap: they look like products and they look magic, but they aren’t. Maybe we have to go through the slow, boring hunt for product-market fit after all.” Link

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Automatically-generated ontology?

Posted on July 16, 2024 by decisionmanagementcommunity

Ron Ross: “Automatically-generated ontology? In other words, can existing AI on its own assemble a meaningful, useful ontology from some corpus for a domain of knowledge that currently has no ontology? Based on our experiments and experience, I’d say no (not even close), though yes, it can assist in specifics.” Link

Posted in Artificial Intelligence, Knowledge Representation, Semantic Web | Leave a comment

Decision Modeling and Fairness

Posted on July 8, 2024 by decisionmanagementcommunity

Could we achieve fairness in our automatic decision-making? This question was actively discussed in the presentation “How to make optimal decisions (that are unfair, biased and non-objective)” given by Dr. Guido Tack in May of 2024. While Guido used the famous Stable Marriage problem as an example, similar problems are everywhere: allocating teachers to classes, service personnel to customers, nurses to shifts, students to universities, donated organs to patients, etc. Guido pointed out that our decisioning algorithms may introduce bias and unfairness in subtle ways. He is discussing different ways to represent fairness as an optimization objective and makes attempts to achieve it following 3 approaches specified by Corrago Gini, John Rawls, and John Nash. Guido’s conclusion is not very optimistic: each particular problem may requires its own solution. Still this discussion brings some light to quite complex problems in decision modeling and it’s already incentivized our June-2024 Challenge.

Posted in Algortithms, Decision Intelligence, Decision Making, Fairness, Optimization | 1 Comment

James Gosling retires, Java keeps going strong

Posted on July 5, 2024 by decisionmanagementcommunity

== James_Gosling – Wikipedia == Java is strong in 2024 ==

Posted in Computer Scientists, Java, Most Influential | Leave a comment

July-2024 Challenge “Smart Investment”

Posted on July 3, 2024 by decisionmanagementcommunity

We’ve just published a new challenge “Smart Investment”: A client of an investment firm has $10,000 available for investment. He has instructed that his money be invested in particular stocks, so that no more than $5,000 is invested in any one stock but at least $1,000 be invested in each stock. He has further instructed the firm to use its current data and invest in the manner that maximizes his overall gain during a one-year period. Link

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Graph Types and Ontological-Driven Data Structures

Posted on June 30, 2024 by decisionmanagementcommunity

Joe Hoeller wrote about common misconceptions about graphs and AI: “Graphs are essential in various domains, ranging from computer science to bioinformatics. However, distinguishing between different types of graphs and understanding their unique properties and applications is crucial. This article aims to clarify these distinctions by focusing on Directed Acyclic Graphs (DAGs), Label Property Graphs (LPGs), Bipartate Graphs, and Semantic Knowledge Graphs” Link

Posted in Knowledge Representation, Semantic Web | Leave a comment

LLMs and Complex Business Problems

Posted on June 27, 2024 by decisionmanagementcommunity

David Ferruchi’s new article “Large Language Models Created Demand for AI Capable of Complex Reasoning They Can’t Deliver Alone” explains why a more holistic approach to AI combined with different forms of reasoning is needed to help us make better decisions. David raises a crucial question: How can we ensure the quality of LLMs when solving complex business problems where the outcome needs to be 100% accurate and provide the long chain of precise reasoning steps? LLMs alone do not, and will not, meet this expectation based strictly on how they work. David dives deeper into the very notion of precision, complex reasoning, and step into the fascinating realm of language itself. Link

Posted in Decision Intelligence, LLM, Reasoning | Leave a comment

DecisionCAMP-2024 Program Announcement

Posted on June 27, 2024 by jacobfeldman

DecisionCAMP is the major annual gathering of practitioners dedicated to Decision Intelligence technologies including Rule Engines, Machine Learning, Optimization, and Generative AI. The Org Committee has just announced a great Program for the 2024 event. Register for free and attend all sessions online.

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How to Introduce Optimization

Posted on June 22, 2024 by decisionmanagementcommunity

Prof. Warren B. Powell published a new book “A Modern Approach to Teaching an Introduction to Optimization“. He states: “Optimization should be the science of making the best decisions we can… The vast majority of optimization problems are used to make decisions that arise over time, which means they are sequential decision problems that have to be solved as new information continues to arrive.“ While he concentrates on the question “We need to modernize how we introduce students to optimization“, many of his observations are valid for bringing the optimization approach and supporting tools to business analysts. Free PDF

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Posted in Decision Making, Optimization | Leave a comment

Text to Knowledge Graph

Posted on June 22, 2024 by decisionmanagementcommunity

Dan Selman published an article that describes how to convert natural language text to knowledge graphs. Dan extended Concerto Graph by adding a new method mergeTextToGraph which simplifies the conversion of a block of text to a Knowledge Graph ensuring that the structure of the nodes and edges conforms to the Concerto data model that is associated with the Graph Model. All source codes are available and you may try to test it with your own data models. Link

Posted in Knowledge Representation, LLM | Leave a comment