The applicability of artificial intelligence (AI) and machine learning (ML) techniques in the financial space can be vague—they hold the promise of a panacea for some, but the results are often that of a sugar pill. We have seen it applied in the surveillance industry; used to draw out false positives in anti-money laundering processes; in scouring through social media on the lookout for signals and trends that could perhaps give asset managers an extra edge; and even in trying to predict and