The 20th Learning and Intelligent Optimization Conference (LION) will be held on 15-19 June 2026, in Milan, Italy. It will include a special session: LEARNING AND OPTIMIZATION UNDER UNCERTAINTY FOR DYNAMIC AUTONOMOUS NAVIGATION. https://www.lion20.org/
Right after DecisionCAMP-2025, where James Taylor was the moderator of the Expert Panel, he posted a nice presentation, “Building Decision Agents with LLMs & Machine Learning Models,” about Decision Agents within modern decision intelligence platforms. A brief summary:
During DecisionCAMP-2025, we conducted the poll “Using LLM-based tools in the Decision Intelligence Context“. This poll pertained solely to Operational Repetitive Business Decisions. It contained 13 questions about the use of LLMs for the various decision automation tasks. Here are the strongest choices (with more than 45%):
Continue readingWhile just completed DecisionCAMP-2025 was dominated by the integrated use of Generative AI (LLMs) and Symbolic AI (Rules, Machine Learning, Optimization), in my closing notes I concentrated on the topic of making repetitive operational decisions in the real-world, frequently uncertain environments. In this article, I elaborated why it is important now and will be more important as the AI hype pushes our decision-making systems to even wider use within real-world business processes. Link
John Brandon Elam wrote today: “You can actually tell the solver to generate multiple valid solutions to a problem, not just the single ‘best’ one. For me, as a Product Owner, that’s huge. Why? Because business stakeholders don’t live and breathe optimization. Nor should they. My job is to make the math disappear into something usable.
But when you can bring them several solutions, it does two important things:
1. Gives them a sense of control and choice.
2. Creates an opportunity to explain powerful concepts like “global optimal” in a practical, visual way.
It turns optimization from a black box into a conversation. And that’s the difference between adoption and resistance. Optimization is deep math, but in the end, it’s about people making better decisions.” Link
Dr. Roger Moser: “We have entered the algorithmic age—an era where competitive advantage is defined less by the products you sell or the services you deliver, and more by the decisions your organization makes and how well it makes them.
Think of Amazon constantly repricing millions of items, or Netflix reshaping your screen in real time to keep you watching. Consider Toyota predicting machine failures before they occur, Walmart letting algorithms choose store-level restocking patterns each night, or Maersk steering ships around storms to save both fuel and risk. What unites these examples is not industry or geography, but the sheer volume, speed, and accuracy of decisions driving them forward.” Link
Linas Beliunas painted a quite dark picture for Microsoft, comparing its future to the collapse of DEC. “DEC missed the platform shift. PCs rose. IBM adapted. DEC died. AI could do the same to Microsoft. If AI agents replace SaaS, Microsoft must become the orchestrator, or risk becoming the next DEC.” At the end, he states: “The next platform shift won’t crown winners. It will erase giants.” But what exactly will be the next platform shift, and when will it occur?
GenAI itself answers this question as follows: “While AI is the most prominent driver of this transition, it is not a monolithic shift. The next platforms will be defined by the ways these emerging technologies work together. This move creates an era of ‘ambient computing,’ where interactions happen naturally and are seamlessly integrated into daily life, rather than being confined to a single device.“
“For a decade, the dominant Silicon Valley mantra has been: monoliths don’t scale; microservices do. Netflix itself helped popularize this philosophy. Its migration from a monolithic Java app to a sprawling microservices ecosystem became the canonical case study taught at conferences and in blog posts worldwide.
But here’s the twist: buried in the operational reality of running one of the most complex streaming platforms on Earth, Netflix accidentally revealed a counterintuitive truth — under certain conditions, monoliths actually scale better.” Link
Marco Montali: “Despite the recurring, unsupported hyped statements on disappearing jobs: jobs are not disappearing, mediocrity is. A mediocre programmer, a mediocre journalist, a mediocre expert will likely be out-of-market. It is now time to tell people that they have to follow their talents in the boldest possible way. Talent and knowledge will not be beaten: they will become more and more essential.” Link
DecisionCAMP 2025 is now a chapter in the history of the Decision Intelligence movement. You can view all presentation slides and watch all recordings from the Program or directly on our YouTube Channel at https://www.youtube.com/c/DecisionCAMP. Here are the Closing Remarks delivered by the event Chair, Dr. Jacob Feldman. You still may provide your answers to the event poll “Using LLM-based tools in the Decision Intelligence context“. We will publish the final results in a week.
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