Summary: The world is changing, and so is the way it is measured; we are now living in the age of AI and Big Data. This is particularly evident in the payments ecosystem due to rapid digitization accelerated by the COVID-19 pandemic. This shift is generating an abundance of high-frequency payments data, complemented by the continuous advancements in artificial intelligence, machine learning, and quantum computing. This synergy of payments data and advanced analytics holds promise for addressing various challenges, such as real-time economic monitoring, systemic risk assessment, and efficiency improvements in payments systems. This seminar will provide a comprehensive overview of research in this area, showcasing practical use cases across supervised, unsupervised, and reinforcement learning, along with the evolving field of quantum computing.
About the Speaker: Ajit Desai is currently working as a principal data scientist in the research division of the Bank of Canada (Canada's reserve bank). His work leverages cutting-edge techniques such as artificial intelligence (AI), machine learning (ML), and quantum computing (QC) to study payments data, including cryptocurrency data, with the primary objective of making digital payments infrastructure safe and efficient. Dr. Desai received his Ph.D. from Carleton University in 2018 in Computational Science and Engineering and his M.S. from the Indian Institute of Technology Madras in 2011.
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