Designing AI solutions
In this part, we will talk about the design of AI solutions, including qualification, strategy, and the responsible use of AI. Infusing AI into architecture has to be the result of some strategic consideration. The data architect should ask themself a series of questions, and find a substantiated answer, to end up with an optimal architecture.
The first set of questions is regarding the qualification of a use case.
Is AI the right solution?
This can be further refined to the necessity of an inductive solution, compared to a deductive one. Business rulesets are deductive; machine learning is inductive. Business rules will provide you with a solid answer if the condition for that rule is met. Machine learning models will provide you with answers that have a high probability but not certain ones.
The big advantage of machine learning is its ability to cover cases in a much more granular manner, whereas business rules must group various cases within a...
