There has been a significant focus on fraud, AML monitoring, and screening detection tools, with financial crime investigations “improved” but not revolutionized. Investigations remain a significant FTE-intensive and time-consuming process for the organization; siloed systems and fragmented risk views result in unbearable operational deficiencies. Join this panel discussion as we discuss recent developments in enterprise financial crime investigations and how a holistic 360-degree risk view can be shared across different teams enterprisewide using advanced analytics and machine learning approaches, including supervised machine learning and how these approaches are being deployed to enable enlightened and faster financial crime investigations decisions.