IBF Fireside Chat : Artificial Intelligence - Operationalisation Demystified
9 September 2019
As Artificial Intelligence and Data Analytics becomes more mainstream in the financial industry, how can financial institutions operationalize AI in various aspects of their business and what are the risks and compliance issues that need to be considered to ensure the robustness of measures surrounding the treatment of data?
Come join us for an afternoon fireside chat with Dr David Hardoon, Special Advisor (Artificial Intelligence) at the MAS, as we tap his thoughts and insights on these and more. Hear from industry leaders on their experience of operationalizing AI in their organisations and some of the challenges encountered and how they were overcome.
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IBF Fireside Chat: Artificial Intelligence - Operationalisation Demystified
9 September 2019
Special Advisor (Artificial Intelligence), Monetary Authority of Singapore
Dr David R. Hardoon is the Special Advisor (Artificial Intelligence) at the Monetary Authority of Singapore (MAS). In this role, he leads the development of the AI strategy for Singapore's financial sector, as well as MAS's efforts in promoting open cross-border data flows. Formerly Dr Hardoon was the Chief Data Office and Head of the Data Analytics Group (DAG) at the MAS, spearheading efforts to harness the power of data analytics to unlock insights, enhance the supervision of financial institutions, and make regulatory compliance more efficient for financial institutions. Prior to his employment at MAS, Dr Hardoon was co-founder and Executive Director at Azendian Solutions Pte. Ltd., where he was responsible for the advanced analytics practice, serving clients across business sectors in Asia. Dr Hardoon received a B.Sc. in Computer Science and Artificial Inteliigence with first class honors at Royal Holloway, University of London in 2002, and a PhD in Computer Science in the field of Machine Learning from the University of Southampton in 2006. He is currently an Honorary Senior Research Associate at the Centre for Computational Statistics & Machine Learning, University College London.