The #DecisionIntelligence is N🚫T rules management, machine learning, or big data analytics.
I've seen some people posting on #decisionintelligence and trying to convey that DI is machine Learning, predictive analytics, or rules management.
They cannot be more wrong about it.
✨The #DecisionIntelligence is about business decisions.
Below is 3 main points of how it works, end-to-end:
🔹 Modeling and executing business decisions explicitly. Then, improving the outcomes of the decisions with a feedback loop.
When you model a business decision, you will decompose a complex decision into smaller, more easy-to-understand decision units. Then, each of those units can be implemented using different techniques, such as #businessrules #machinelearning #optimization, and so on. This is called #CompositeAI technique.
The decision model represents the explicit definition of a business decision.
🔹Now, you will need some orchestration around it to read data from various data sources, massage them, and merge them into the information required for the decision model. Then, pass the data to the decision model for execution.
🔹Once the decision model's results are collected in the orchestration layer, they need to be reflected back into the systems processes and workflows of organizations.
💣You MUST do it end-to-end. Otherwise, your project will not change the organization's behavior.
Posted here.
Published August 13th, 2024 at 07:30 am
