GenAI for Regulatory Compliance in Financial Institutions

Casey Kesavan Sathasivam is a distinguished compliance and risk management professional with over 30 years of comprehensive experience spanning banking, international remittance, fintech, insurance, and financial education sectors. As a certified Anti-Money Laundering Specialist (CAMS) and Certified Professional in AML/CFT, Casey has established himself as a trusted authority in governance, risk, and compliance, known for his ability to translate complex regulatory requirements into clear, actionable frameworks that organizations can implement with confidence. Throughout his extensive career, Casey has held senior compliance leadership positions at prominent financial institutions including Merchantrade Asia, Valyou, IME, and Suria Muhabat, where he has been instrumental in building robust compliance frameworks and fostering cultures of regulatory excellence. His expertise encompasses the full spectrum of compliance disciplines, including Anti-Money Laundering (AML), Counter Financing of Terrorism (CFT), regulatory governance, internal audit, business process assessment, control frameworks, and data privacy protection compliance under PDPA. As an accredited HRDC trainer and experienced facilitator, Casey has delivered over 50 MSB AML/CFT programs in collaboration with Bank Negara Malaysia (BNM) and the Malaysian Association of Money Services Business (MAMSB), training more than 300 professionals across diverse financial sectors. His training philosophy centers on simplifying complex regulatory concepts into practical, scenario-driven learning experiences that instill accountability, compliance awareness, and ethical decision-making. Casey's facilitation expertise extends to AMLA, PDPA, Ethics, Governance, and MSB Compliance workshops, making him a sought-after educator in the regulatory compliance space. Casey also serves as a Guest Lecturer at the Malaysian Insurance Institute and Asian Banking School, where he shares his deep industry knowledge with the next generation of compliance professionals. His credentials include certifications from ACAMS, ICA/AICB in partnership with Manchester Business School, and FAA/MAMSB, complemented by a Bachelor of Economics (Hons) from Universiti Utara Malaysia. Recognized as a trusted partner to both regulators and industry stakeholders, Casey continues to bridge the gap between regulatory expectations and practical implementation, ensuring organizations remain compliant while maintaining operational efficiency.

Dr. Mohammed Al-Obaydee is a distinguished academic and industry professional with extensive expertise in artificial intelligence, machine learning, deep learning, and data science. As an Adjunct Associate Professor at Taylor's University Malaysia and a certified Train the Trainer professional, he brings a unique blend of academic rigor and practical industry experience to his teaching and consulting engagements. With a Ph.D. in Information Science from Universiti Kebangsaan Malaysia (UKM) and over two decades of experience spanning academia and industry, Dr. Al-Obaydee has established himself as a leading authority in advanced computing technologies. His research excellence is evidenced by multiple best paper awards, including recognition at IEEE ACSAT2014 and ITNG 2023 conferences, along with an impressive publication record featuring over 149 citations and an h-index of 6. His research focuses on medical image analysis, computer vision, machine learning applications, and deep learning techniques. As a founder of INNOEYETIVE and AIC4ALL, Dr. Al-Obaydee demonstrates entrepreneurial acumen in leveraging AI and immersive technologies for digital transformation. His industry experience includes successful training and consultation projects with major corporations such as HSBC Bank, OCBC Bank, DELL Malaysia, Amway Malaysia, and EtiQa, where he has delivered specialized programs in data science, analytics, and applied AI engineering. His ability to bridge the gap between theoretical concepts and practical applications makes him an exceptional trainer for professionals seeking to upskill in emerging technologies. Dr. Al-Obaydee's teaching portfolio encompasses a comprehensive range of subjects including Machine Learning, Deep Learning, Data Analytics, Data Engineering, Parallel Computing, and Advanced Data Structures. He has supervised numerous master's students and research projects at both Taylor's University and the International Islamic University Malaysia (IIUM), focusing on cutting-edge topics such as deep reinforcement learning, medical image classification, fraud detection, and natural language processing. His international speaking engagements and extensive training experience across multiple organizations demonstrate his exceptional communication skills and ability to make complex technical concepts accessible to diverse audiences.