STOP 🛑 thinking accuracy of your AI models are real metrics for the good and bad outcome of decisions.
There is no significant correlation between model accuracy and business outcome.
Accuracy is a model metric.
Outcome is a designed result.
They do not appear automatically from a better score and metrics.
A model predicts, evaluates and generates.
A decision commits.
🔹Predictive models give probability.
🔹Generative models create content.
🔹Deterministic models calculate and evaluate.
If you look from closer…
💡 Decision creates cost, revenue, risk, and customer impact.
Accuracy lives in the lab.
Outcome lives in the environment.
Design decisions toward objectives.
Then use models as tools.
Accuracy is a tool.
Outcome is the reality.
🚀 Operationalize #DecisionGovernance if you need to control and align business outcomes.
Read more at https://lnkd.in/gEv2yAFS
–
Follow the “Uncle of DI” if you're looking for unfiltered insights into #DecisionIntelligence, #AI, and #DecisionAutomation. Hit the 🔔 on my profile to get notified about my daily posts.
Posted here.
Published April 15th, 2026 at 07:30 am
