Martin Milani: “Every day, a new AI infographic shows up. More layers. More terms. More boxes and arrows. Architectures stacked on top of architectures.
Term salad put through a blender.
But almost none of them start with the one fundamental question that actually matters: What exactly is AI and where did it come from?” Link
Geoffrey De Smet reports from EURO Practitioners’ Forum, where “the group of experienced Operations Research (OR) data scientists shared their war stories. Industry experts, not academic researchers. Smart people, that poured their hearts into their projects for months or even years, only to see them fail to reach production, far too often. At times, it felt like an AA meeting. Still, they all see the massive potential of their work. Their direct impact on the daily operations of railways, drugstores, transports, factories, etc. Their successes bring massive benefits for their employers, their colleagues and their customers.” Link
In June, Stefaan Lambrecht will run several sessions with the above name. Here is his preview:
Let’s be blunt:
Most BPM initiatives fail.
Not because of tooling.
Not because of lack of effort.
But because they focus on the wrong thing. They optimise flows…
While the real problem sits elsewhere:
👉 Decisions — invisible, unmanaged, and owned by no one.
So we keep drawing better process diagrams… While the logic that actually drives the business stays buried in code, spreadsheets, and “that one expert who knows how it works.” Read more
Benny Cheung wrote: “I keep running into the same pattern: every fundamental AI problem I hit, some philosopher already diagnosed it centuries ago.” Link
DecisionCAMP-2026 is honored to welcome Philippe Kahn, a distinguished mathematician, inventor, and scientist, as its keynote speaker. Link
Dr. Roger Mozer: “Despite AI advances, many companies are not seeing meaningful improvements in overall performance. Strategy execution remains uneven. Cross-functional alignment is fragile. Decision-making is often faster in parts of the organisation, but no more coherent across it.
This disconnect is not a failure of AI. It is a misunderstanding of what AI actually changes.
AI does not simply improve tasks. It reshapes how decisions are made, how those decisions connect across workflows, and ultimately how organisations themselves are structured. When these three layers are misaligned, even the most advanced AI produces only local gains. When they are aligned, the result is not just better performance, but a different kind of enterprise.” Link
Prof. Warren Powell: “There are a LOT of drivers who have no idea how a car works, but they get to where they need to go. The challenge faced by AI developers is to create tools that work like cars, since that is the only way these tools can scale to the market needed to cover the investment in computing infrastructure.” Link
Ron Ross: “GenAI has demonstrated something that should have been obvious all along: Text is how humans communicate knowledge. GenAI answers your prompts in sentences. That shouldn’t surprise you – it’s simply how humans communicate.” Link
This April-2026 Challenge aims to explore how LLMs orchestrate rule-based decision services. It describes three loosely coupled medical services:
Your LLM should use these three services (instead of its own general “knowledge”) to determine a therapy for a patient with Acute Sinusitis. Here is a possible request: “I have a patient diagnosed with Acute Sinusitis. He is 58 years old, weighs 78 kg, and has a creatinine level of 1.85. Keep in mind that he is Penicillin-allergic and takes Coumadin.” Link
The workshop “LLMs meet Constraint Solving (LLM-Solve)” aims to bring together researchers exploring the intersection of Large Language Models (LLMs) and Constraint Solving (CP, SAT, SMT, MIP, and related paradigms). This workshop provides a platform to discuss recent advances, challenges, and opportunities in combining LLMs and constraint solving.
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