22th - 23th January 2019
Fort Canning Singapore
This course will take attendees through a deep dive of the potential of new technologies, real practical ways it can be implemented, and what are the current limitations and risks AML Data Analytics.
The course will end with a thought experiment about what the future of an AML program can look like based on the current advances in technology and reasonable budgets to fund these transformations which will draw from real case studies in the market.
Benefits of attending
The anti-money laundering (AML) industry is undergoing massive changes due to large fines from aggressive regulatory bodies, increasing pressure from the rising costs of compliance, and technological innovations. Many countries such as the United Kingdom, Australia, Singapore, and the United Arab Emirates have established regulatory sandboxes to allow financial institutions to experiment with new technology without the fear of regulatory sanction. There are several technology trends that will have a significant impact on the AML industry such as the end-to-end digitalization of business operations, RPA, big data, AI, ML, and distributed ledger technology (DLT). As consumers demand faster payments it increases the number of mediums that value can flow through and this makes detecting money laundering more difficult. Financial institutions have to future-proof their AML operations through the use of advanced analytics to reduce the risk of fines from domestic and international regulatory bodies and manage the spiraling costs of compliance. AI has tremendous potential to dramatically alter the AML landscape, but all of the hype in the media makes it hard to separate fact from fiction. This course will take attendees through a deep dive of the potential of new technologies, real practical ways it can be implemented, and what are the current limitations and risks.
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