Summary: The majority of FINRA’s market manipulation surveillance patterns now use deep learning to detect misconduct in what is perhaps in what is perhaps the largest application of artificial intelligence in the RegTech space. On this episode, we hear how this is making FINRA’s market surveillance data more digestible and increasing the efficiency and flexibility of the program.
