Aggregating Chaos: Where Machine Learning and the Real World Collide
Business change always occurs in a context – it is the context that defines what is relevant to the change. In a world where the application of Artificial Intelligence (AL) and Machine Learning (ML) seems limitless, it is more important then ever to consider context – the context under which ML technology has been created, the context under which the data that drives it has been collected, and the context to which it is being applied.This presentation will look at key points to consider when applying ML to the real world.