Adam DeJans Jr. just posted on LinkedIn practical advice on how to build real-world decision intelligence: Most “decision intelligence” projects fail because they skip one thing: Engineering. A model is not a system. A dashboard is not a decision. If you want to build real-world decision intelligence, here are 5 practical principles I use when building production systems:

1. Build around the decision, not the data
2. Encode policies, not one-off answers
3. Build the simulation before the pipeline
4. Log everything
5. Test for uncertainty, not just correctness

It’s not about perfect models. It’s about resilient systems that make smart decisions, log them, and learn. Test for uncertainty, not just correctness. Link