Building a business case includes analyzing the expected benefits and costs associated with a project. However, in the case of AI, the answer is unlikely to be straightforward. AI projects can appear costly without any immediate gains — particularly for loosely bound scenarios and in organizations that aren’t used to setting aside budget to develop and deploy solutions for new business scenarios
Machine learning is just one approach to reifying artificial intelligence, and ultimately eliminates (or greatly reduces) the need to hand-code the software with a list of possibilities, and how the machine intelligence ought to react to each of them.
As we delve into higher and even more sophisticated levels of machine learning, deep learning comes into play. Deep learning requires a complex architecture that mimics a human brain’s neural networks in order to make sense of patterns, even with noise, missing details, and other sources of confusion. While the possibilities of deep learning are vast, so are its requirements: you need big data, and tremendous computing power.