There has been a lot of conversation lately about how machine learning (ML) is paving the way for artificial intelligence (AI) methodology in financial compliance, addressing the key differences between AI and ML, and outlining why today’s financial compliance applications require a hybrid approach that combines ML and human decision-making attributes.
