The team wanted to build an AI agent. The idea had momentum. The engineers were capable. The technical path looked plausible. In many organizations, that would have been enough: a new tool, a motivated...
We make thousands of decisions every day, and modern organizations are considered “Decision Factories”. Multiply by billions of people, and it’s not hard to imagine that even a small change in how decisions are made could...
As a senior computer scientist, I often get asked: “How do I master CS including AI?” Our company does a lot of solutions and advisory work, around implementing ML/AI/DI in production, decision design, training,...
Most of us are fluent in boxes and arrows. We draw process maps.We diagram workflows.We show what happens first, then next, then next. And those diagrams are useful. But when it comes to designing...
One of the most widespread images from my work, as reproduced in both Link: How Decision Intelligence Connects Data, Actions, and Outcomes for a Better World, and in The Decision Intelligence Handbook, is the...
One of the most persistent sources of confusion we see in organizations that want to improve decision making using AI and/or data science is a quiet category error: treating all decisions as if they...
In Part 1 of this two-part post, we introduced the challenge of how, despite having created a well-formed CDD, the actions chosen by a decision maker may never actually be taken. Here, we present...
The team wanted to build an AI agent. The idea had momentum. The engineers were capable. The technical path looked plausible. In many organizations, that would have been enough: a new tool, a motivated...
We make thousands of decisions every day, and modern organizations are considered “Decision Factories”. Multiply by billions of people, and it’s not hard to imagine that even a small change in how decisions are made could...
As a senior computer scientist, I often get asked: “How do I master CS including AI?” Our company does a lot of solutions and advisory work, around implementing ML/AI/DI in production, decision design, training,...
Most of us are fluent in boxes and arrows. We draw process maps.We diagram workflows.We show what happens first, then next, then next. And those diagrams are useful. But when it comes to designing...
One of the most widespread images from my work, as reproduced in both Link: How Decision Intelligence Connects Data, Actions, and Outcomes for a Better World, and in The Decision Intelligence Handbook, is the...
One of the most persistent sources of confusion we see in organizations that want to improve decision making using AI and/or data science is a quiet category error: treating all decisions as if they...
In Part 1 of this two-part post, we introduced the challenge of how, despite having created a well-formed CDD, the actions chosen by a decision maker may never actually be taken. Here, we present...
When we build decision models, there is often a particularly satisfying moment. After mapping a complex situation with a causal decision diagram (CDD), the system finally reveals itself, and the decision mapping participants can breathe a sigh...
We’re hearing a lot about Agentic AI these days. If you work in an office and do most of your work on a computer, chances are that someone will soon offer you an AI...
I’ve been a project manager dozens of times for over 45 years (hard to believe!). Core to my success in this role has been the belief that “planning is associated with project success; both...