What small teams can do today

See this LinkedIn post: “Two people with the right tools can outbuild a team of 20. The gap between them and everyone else is compounding every week:

– small teams are now out-shipping 100+ people orgs
– tools that replace whole teams now cost $20/month
– iteration cycles shrank from weeks to hours
– the bottleneck moved from building → deciding

Running a two-person company in 2026 looks like:

– prototypes → production (same week)
– specs → code (same day)
– PM (me) ships code with AI in the loop
– “we should hire” → “we should ship”

What changed isn’t talent. It’s leverage
.” Link

Posted in Software Development, Trends | Leave a comment

“The classic consulting model is reaching its limits”

Stjepan Juričić’s post is going to upset some big consultancy firms. “Not because strategy is useless.
Not because expertise disappears. But I believe that the traditional times & materials, pyramid-heavy model is under pressure… A lot of junior-heavy tasks are now augmented or automated. And clients know it. They’re starting to ask different questions:

  • What is the real value you bring?
  • Why am I paying for time instead of outcome?
  • How do you use AI internally to be faster and sharper?Link
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Real-Time Orchestration

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

Posted in Decision Intelligence, Decision Monitoring, Decision Optimization, Human-Machine Interaction, Scheduling and Resource Allocation | Leave a comment

From Solvers to Decision Factories

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

Posted in Decision Intelligence, Decision Making, Decision Modeling, Human-Machine Interaction, Optimization, solvers, Trends | Leave a comment

Decision Memory

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

Posted in Artificial Intelligence, Decision Intelligence, Reasoning | Leave a comment

From Process-Centric to Decision-Centric Architecture

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

Posted in Agents, Architecture, Business Processes, Decision Modeling, Orchestration | Leave a comment

Don’t Talk English to Your LLM

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

Posted in Gen AI, Human-Machine Interaction | Leave a comment

IBM just did the opposite of what AI experts predicted – it tripled entry-level hiring

“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

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Sequential Optimization

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

Posted in Decision Modeling, Optimization | Leave a comment

Building Business Capability 2026

April 20-23, 2026 – Toronto, Canada
Marriott Downtown CF Toronto Eaton Centre

Link

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