🛑STOP being lazy and use #data for #automation of business decisions.
💣There is a big difference between different types #AI techniques and their methods; not all are data-driven. In fact, the most useful and practical ones in enabling organizations to make better decisions are NOT data-driven.
🚩When it comes to decision-making in organizations, the tech industry's obsession with advocating for data-driven AI techniques such as #MachineLearning #LLM techniques is undermining the essential need to understand and model business decisions.
If we want to improve business operations, we've got to begin with business decisions. And you've guessed it: a business decision model is not about finding patterns in a dataset.
✨Think of business decisions as multi-step, hierarchical complex entities that specify a context and how to conclude a judgment for a particular question. Sure, they are connected to some shape or form of data, but that's where the context and input to the decision are all about. By modeling a business decision, we decompose the complex business question into a set of small and easier-to-understand decision units. It depicts the dependencies and relation between units and external data inputs and knowledge sources.
🚀The business decision model #decisioncentric helps you to unfold what AI techniques and methods are needed to answer a business question that requires judgment based on subject matter experiences and organizational knowledge.
Posted here.
Published April 15th, 2024 at 07:30 am
