Community Poll about DecisionCAMP-2024

Please vote your preferences for the next year DecisionCAMP‘s organization:

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Notes from DecisionCAMP-2023

DecisionCAMP-2023 goes down in history. As the Chair of this popular annual decision-management event, I will try to write down my fresh impressions after 3 days of interesting presentations and discussions. This was our 15th event which from the very beginning was positioned as a not-for-profit gathering of practitioners discussing real-world issues, their solutions, and used and upcoming technologies. So, as usual, we did not have thousands of attendees, but most of our attendees are people who actually do it. This time we again had a few hundred registrations and ~50 people attending live sessions. Our attendees know that they may quietly watch recordings of all sessions, interactive panels, and major discussions afterward by clicking on the proper links in the Program.

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Practical Applications, Use Cases, and Testing (DC2023 Notes Part 3)

As usual, DecisionCAMP included presentations devoted to practical applications and case studies of decision modeling and decision optimization. Testing rules-based decision services is extremely important topic in practical decision management especially in the modern CI/CD world. No wonder we had quite a few presentations related to decision service testing. I recommend you to watch their recordings by clicking on the links “Recording” below. Thank you all presenters for interesting presentations!

If you watched all presentations, please vote for the best 3 using this Poll by Sep 26.

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Posted in Case Studies, Decision Modeling, Decision Optimization, DecisionCAMP, DevOps, Optimization, Testing | Leave a comment

Novel Decision Modeling Techniques (DC2023 Notes Part 2)

There were two presentations at DecisionCAMP-2023 devoted to new ideas that extend traditional Decision Modeling and DMN-like tools in new directions: 1) Probabilistic reasoning when a decision model deals with uncertain facts about which we know only their probability; 2) Declarative decision modeling with rules and constraints defined on yet unknown decision variables. In this post I briefly describe these presentations and recommend you to watch their recordings from the Program.

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Posted in Constraint Programming, Decision Intelligence, Decision Modeling, Decision Optimization, DecisionCAMP, Knowledge Representation, Reasoning, Rule Violations | Leave a comment

From Knowledge Sources to Executable Decision Models (DC2023 Notes Part 1)

Considering the current explosive nature of Generative AI, it was only natural to expect that words such as LLMs, ChatGPT, OpenAI will be dominant at DecisionCAMP-2023 as well. In the world of Decision Modeling, it means that these new GenAI tools can be used to automate the less automated process of auto-generation of business rules and test cases from various knowledge sources. In this post I will briefly describe only the related presentations and discussions.

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Posted in Artificial Intelligence, ChatGPT, CI/CD, Decision Intelligence, Decision Modeling, Decision Models, DecisionCAMP | Leave a comment

DecisionCAMP Day 3 Recordings

Watch recordings of the third day presentations at DecisionCAMP-2023:

Posted in Artificial Intelligence, CI/CD, Decision Modeling, Decision Models, Events, LLM, Microservices, Testing | Leave a comment

DecisionCAMP Day 2 Recordings

Watch recordings of the second day presentations at DecisionCAMP-2023:

Posted in Artificial Intelligence, Decision Modeling, DMN, Events | Leave a comment

DecisionCAMP Day 1 Recordings

Watch recordings of the first day presentations at DecisionCAMP-2023:

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Generative AI-Powered Tool from Sparkling Logic

Sparkling Logic today announced the creation of AI Assistant, an interactive, generative AI-powered tool. “Generative AI has been a game-changer as companies race to integrate it into their products and services,” said Carlos Serrano-Morales, Co-Founder and CTO of Sparkling Logic. “Our Augmented Intelligence initiative aims to apply generative AI and other emerging technologies to make decision management even easier and more intuitive for non-technical business analysts.” Link

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Large Language Models as Optimizers

The article with this title was published on Sep 7, 2023. “In this work, we propose Optimization by PROmpting (OPRO), a simple and effective approach to leverage large language models (LLMs) as optimizers, where the optimization task is described in natural language. In each optimization step, the LLM generates new solutions from the prompt that contains previously generated solutions with their values, then the new solutions are evaluated and added to the prompt for the next optimization step. We first showcase OPRO on linear regression and traveling salesman problems, then move on to prompt optimization where the goal is to find instructions that maximize the task accuracy. With a variety of LLMs, we demonstrate that the best prompts optimized by OPRO outperform human-designed prompts by up to 8% on GSM8K, and by up to 50% on Big-Bench Hard tasks.Link

Posted in Algortithms, LLM, Optimization | Leave a comment