Financial Institutions are challenged with increasing volumes of data to be ingested & analyzed from complex systems to deliver an intra-day risk analysis to the business teams to make informed decisions, the desired state is to have a real-time risk analysis to proactively track suspicious / fraudulent activities as they happen. Data transformation projects have failed to produce valuable results despite having invested in state of the art risk analysis algorithm – in this session, Nithin Srinivas, Product Account Manager with BMC Software, explains the need for DataOps & how a well-orchestrated data pipeline helps organizations get actionable insights using AI/ML by analyzing large volumes of risk intelligence data collected from disparate systems.