⚠️Decision intelligence is more than just applying machine learning to find patterns or perform prediction, classification, forecasting, or other tasks.
Decision Intelligence changes how we approach decision-making. By “decision-making” I do not mean a workflow or process.
Decision-making is the act of making a judgment based on a form of reasoning.
The reasoning requires a model that sometimes humans call it “gut feeling”. Sometimes is based on policies and procedures. Sometimes is based on formulation and calculation.
💡Whatever it is based on, it requires a model. A “decision model” to be precise.
What does it mean to you?
When you want to apply Decision Intelligence as an approach to any problem, start by modeling the “decision” explicitly. Start by thinking about how you reason to make that judgment.
How does that work?
🚀Once you have a decision model, it becomes very clear and transparent how the judgment algorithm works. Yes, that reasoning model, i.e., the decision model, acts as the algorithm for creating the outcome and making the judgment.
Based on different sub-components of the decision model, you can then leverage different technologies such as #businessrules #machineanlearning #optimization #data, and so on.
What's the benefit of this approach on applying #DecisionIntelligence?
💣This approach ensures:
* you do not look for data for justification
* you do not force irrelevant technology for a specific task
* you do not start with #data investment upfront
* you do not solve a wrong problem
Posted here.
Published September 13th, 2024 at 07:30 am
