💡The decision model is a critical part of successfully adopting intelligence in organizations.
Organizations need many different types of intelligence, ranging from the very basic yet crucial form of completing a task to the core know-how knowledge of the domain to planning for complex programs and reasoning to solve difficult problems.
All of these different levels of intelligence have something in common: the model that becomes the core foundation of the decision-making scenarios.
⚠️A decision model is at the core of every decision organizations make and execute. It is not simply a rebrand of a business process, workflow, ruleset, or #machinelearning algorithm.
Structurally, a decision model is a graph that connects other subcomponents of the decision together. These subcomponents are called decision units. There are several types of subcomponents, such as Input Data, Business Knowledge, Decision, Knowledge Source, and so on, each with its own specific behavior.
✨Once the graph representing the decision model is created, every decision unit can be connected to different data sources and decision logic. They can receive requests, ingest data, apply rules, execute machine learning models, run predictive analytics algorithms, and so on.
The core part of the Decision Graph is the ability to integrate multiple different techniques of decision-making, from #rules #optimization #machinelearning, into a unified, hierarchical definition.
🚀You can take this graph and integrate it into any process, system and workflow. Orchestrate everything, such as data, humans, #ai agents, and so on, around it. Share the decision graphs between multiple processes and systems to ensure the outcomes they create are consistent and standardized.
💣Although we are here because of all the preceding technologies and approaches, #decisoinintelligence is, at its core, a new way of thinking and requires a new breed of platform, unifying and integrating multiple technologies and techniques to make the magic happen.
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Published June 24th, 2024 at 07:30 am
