Abhishek Gupta possess over 18 years of experience in analytics driven advisory, with focus on enterprise-wide risk management, forensics for financial crimes and corporate strategy. Abhishek was also the risk management expert for McKinsey & Co. and then with Sutra Management Consultancies, where he has successfully worked with over 30 banks and financial institutions on Risk and Compliance offerings, South East Asia, North America and Europe. Abhishek has been working with his team on new emerging technologies like text analytics, voice and image analytics. Academically, he has also been one of the co-inventors of a provisional patent on fraud management technology in India, authored few research papers in reputed journals and has been a visiting faculty for MBA colleges.

Dwijendra Nath Dwivedi is having over 17 years of experience in applying Artificial Intelligence and Advanced Analytics across different industries, e.g.BFSI, Government, Telco, and utilities in various functional areas, e.g. Risk and marketing. He conducts AI Value seminars and workshops, for the executive audience and for power users. He is currently leading Analytics and AI practice for EMEA at SAS and helps to enable organizations in applications of AI. As a thought leader, he is bridging the gap between business needs and analytical enablers and to drive analytical thinking into successful business strategies. He completed his MPhil. from Indira Gandhi Institute of Development and research. He is currently pursuing his PhD in AI from the Department of Economics and Finance from Krakow University of Economics.

Jigar Shah is a techno-management professional with 12 years of work experience into BFSI domain in business and analytics, consulting, IT services, project management and private equity. He carries hands-on experience in executing challenging assignments and consulting clients in areas of financial risk, compliance, and business intelligence. He has a rich experience in working with teams and clients across geographies.

Includes AI studies that impact entire anti-money laundering and compliance process in banks and financial institutions

Covers entire AI journey from Data to decisioning in bringing AI-driven efficiency in AML compliance

Contains pointers for both starter and practitioners using multiple AI-driven use cases from field experience