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- Claude Code Revelation
- Are CVs dead?
- Why Rules Still Matter in an AI World
- Making Better Decisions in Supply-Chain Planning
- DecisionCAMP-2026 Program is now Live!
- How to govern work shared between humans and AI
- “The True Bottleneck Holding Back Agentic AI”
- “Why I Love Supply Chain?”
- When AI builds itself
- Decision Optimization and LLM
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Claude Code Revelation
Posted in Algortithms, LLM
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Are CVs dead?
If they are not dead, they are seriously weakened. CVs are becoming a formality rather than the primary signal of talent. Skills, portfolios, and scenario-based assessments are taking over — especially in technical and knowledge-work fields like decision intelligence.
“Nobody cares what your CV says anymore; what matters is what you leave on the internet. Companies are scanning the digital fortresses, such as GitHub, where candidates actively build. Saying I can do this is over. Candidates who say, I did this, here’s the link, here’s the code, here are the results, are blowing past those with 500+. HR teams at elite companies are using custom algorithms to scan real projects and community contributions on these platforms.” Link
Posted in Trends
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Why Rules Still Matter in an AI World
Pierre Berlandier published the results of “a candid, side-by-side experimental comparison” of two approaches to decision management: rule-based and LLM-based. “We used a simple decision scenario as a test case: determining whether a traveler qualifies for access to the fictitious Big Blue airport lounges. We defined a set of simplified lounge access rules, implemented them both as formal business rules and as native, natural language instructions within an agentic platform, and evaluated their behavior.” Read the results here. A complete solution with IBM ODM is included.
Posted in Decision Intelligence, LLM, Rule Engines and BRMS
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Making Better Decisions in Supply-Chain Planning
Watch the interview with Jeff Metersky, senior vice president of strategy and innovation at GAINS, who cuts through the hyperbole and talks realistically about the benefits of agentic AI and improved supply chain planning. Agentic artificial intelligence may be top of mind for many in supply chain these days, but the notion that the technology is going to drive an autonomous supply chain is overrated, Metersky says. Link
“I don’t think that that’s the right destination for everything,” he says. “I don’t think that that’s where we want to land at the end of the day.” Certainly, there are decisions that can be automated, but others will always require human intervention and advice. “AI is a tool in our tool bag, but it’s not the only tool.”
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Posted in Agents, Artificial Intelligence, Supply Chain
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DecisionCAMP-2026 Program is now Live!
This year, we received an overwhelming number of submissions — so many, in fact, that we had to add an extra day to the event! Join us August 25–28 for four days packed with the latest in Decision Intelligence, Business Rules, Optimization, and AI-driven decision-making, brought to you by some of the brightest minds in the field.
Check out the full program here: https://decisioncamp2026.wordpress.com/program/
We’re thrilled to announce Philippe Kahn as our keynote speaker, along with an incredible lineup of presenters who will share real-world insights and cutting-edge approaches to decision automation. Whether you build decision services or apply them to drive better business outcomes, DecisionCAMP-2026 is the place to be. See you there! http://decisioncamp.org/
Posted in Decision Intelligence, DecisionCAMP, Events
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How to govern work shared between humans and AI
AI agents are entering operational workflows. Trisotech delivered a webinar about their experience of governing work shared between humans and AI agents. They provide practical BPMN patterns for task assignment, human review, supervision, and handoffs between human and AI performers. Link
Posted in Agents, Artificial Intelligence, BPM, Business Processes
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“The True Bottleneck Holding Back Agentic AI”
Prof. Marlon Dumas posted: “Lately, we’ve seen a shift from AI that just thinks to AI that acts. But as autonomous agents start making decisions, buying services, and moving across internal systems, we face a critical legal and security hurdle: If an AI agent acts under my personal or corporate identity, I’m fully liable for everything it does!
Would we hand a blank, signed check and your power of attorney to a software program? Of course not! Yet, that’s exactly the risk profile we create when agents inherit the “unlimited liability” of their owner. If a company faces existential risk every time an agent executes a workflow, the natural response will be to heavily restrict what agents are allowed to do.” Link
Posted in Agents, Artificial Intelligence, Security
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“Why I Love Supply Chain?”
Adam DeJans Jr. shared a great post about why he loves supply chain. “Supply chain is one of the few fields where the problem looks simple on paper and then immediately becomes impossible the moment it touches reality. Move the right product, to the right place, at the right time, at the right cost. That sounds easy until you realize every word in that sentence hides a war. The “right product” depends on demand that is uncertain. The “right place” depends on networks, capacity, labor, transportation, inventory positioning, and service promises. The “right time” depends on lead times, supplier behavior, weather, ports, trucks, warehouses, and human decisions. The “right cost” depends on tradeoffs that are almost never visible in a spreadsheet until someone makes the wrong decision and the business feels it.
That is why I love supply chain. It is not just forecasting. It is not just optimization. It is not just operations. It is economics, uncertainty, negotiation, incentives, systems design, human behavior, and math all colliding at once. A supply chain is basically a living organism where every decision creates a reaction somewhere else.” Link
Posted in Supply Chain
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When AI builds itself
“For most of AI’s history, humans drove every step in its development cycle. But at Anthropic, we are delegating a growing share of AI development to AI systems themselves, which is speeding up our work.
Taken far enough, and given enough compute, that trend points to an AI system capable of fully autonomously designing and developing its own successor. This is called recursive self-improvement. We are not there yet, and recursive self-improvement is not inevitable. But it could come sooner than most institutions are prepared for.” Link
Posted in Artificial Intelligence, Gen AI
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Decision Optimization and LLM
Gurobi, the company behind one of the leading Integer Linear Programming (ILP) solvers, recently published a white paper “Intelligence, Optimization, and the
New Decision Frontier” (written by Adam DeJans). It describes different integration techniques of optimization tools such as ILP solvers and LLM-based inference. Link
Posted in Decision Modeling, Decision Optimization, LLM
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