
Ian Fletcher: Real-Time Orchestration Has Begun. And It’s Always On. Link

Ian Fletcher: Real-Time Orchestration Has Begun. And It’s Always On. Link
Jacob Feldman just posted an article with this title on LinkedIn. Here is the conclusion: “Moving from pure solvers to ‘decision factories’ reflects a broader trend: traditional optimization solvers are maturing into Decision Optimization components embedded within larger Decision Intelligence platforms. This lays the foundation for building custom decision systems that can keep pace with an ever-changing real world.” Link
Dr. Elena Alikhachkina wrote:
We store dashboards.
We archive models.
We document results.
But do we preserve the reasoning behind our decisions?
AI can generate summaries. It can challenge our thinking. It can even simulate skepticism. What it cannot do is remember why we chose what we chose.
Today’s reflection is about Decision Memory and why it may be the missing layer in AI adoption.
If we don’t record our judgment, we risk repeating mistakes with better tools. Link
Here is a quote from Stefaan Lambrecht‘s post: “Instead of process-centric orchestration with embedded decisions, design a decision-centric orchestration, driven by a coherent integrated decision model.” In the more detailed article “Decision-Centric Orchestration: The Next Competitive Advantage“, he demonstrates this statement by considering the lifecycle of a travel claim handling service for a travel insurance company. Probably, “Choreography” is likely the better fit here than “Orchestration“. Link
This is the title of Rod Johnson‘s post: “Just because LLMs are eloquent in natural language doesn’t mean that we should always communicate with them in it. Where important processes are concerned, humans themselves don’t communicate in natural language. Experience shows that processes don’t scale without structure. Forms long predate computers.
The fluency of LLMs in natural language is valuable in communicating, and smoothing over the fuzziness of many integration problems. However, it can also be a distraction, and should not make us lazy in designing systems using LLMs.” Link
“This isn’t anti-AI. It’s post-hype AI. Not ‘AI replaces juniors.’ More like: AI compresses apprenticeship. Maybe the real AI strategy isn’t fewer humans – it’s better ones.” Link
Meinolf Sellmann: Sequential optimization problems are frequent in business. There are many ways to deal with them, but two methods are particularly prevalent: deterministic look-ahead and stochastic look-ahead optimization.
Watch our instant premiere on Tuesday, Feb 10, at Noon EST, when we present experimental results on six different sequential optimization problems:
1. Daily Task Assignment.
2. Weekly Production Scheduling
3. Weekly Pricing and Distribution
4. Weekly Pricing and Ordering
5. Online Routing
6. Weekly Replenishment
If you are serious about optimization that matters, you will not want to miss this. Calendar invite: https://lnkd.in/eByn7pri
Webinar: Generating ODM Decision Services from the Decision Assistant in IBM Decision Intelligence on Jan 29, 2026 from 11:00 AM to 12:00 PM (ET)
Key IBM ODM developers Stephane Mery and Pierre Feillet will explain “how easy it is to come from a policy expressed in natural language to a well-formed ODM project in minutes, dramatically improving the time to value for customers.” Link
“This book has the potential to do for automated decision-making in business that The Goal (Goldratt) did for supply chain management. The ease with which DeJans and Elam communicate these fundamentally new ideas for making decisions under uncertainty for complex business problems is likely to do more to democratize “stochastic optimization” than anything that has ever been written.” Warren B. Powell
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