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Cyber Tech & Risk – AI in FinTech
January 22, 2019 @ 6:00 pm - 9:00 pm$25
AI is a game-changing technology for almost everything in your life. There are big demands and opportunities when you apply AI to the hot fields such as FinTech, Cyber Risk, and Cybersecurity. It is pressing for you to understand the latest industry trend and see how to accelerate your business and career by leveraging AI.
Cyber Tech & Risk is proud to bring you a high-profile “Cyber Tech & Risk – AI in FinTech” event in RBC WaterPark Place Auditorium on Jan 22, 2019 (6 PM – 9 PM)!
1. Artificial Intelligence for Investments and as an Investment
Jon Aikman, Faculty Member, AI and Finance, Queen’s University and the University of Toronto
Jon Aikman is a faculty member at both Queen’s University and the University of Toronto. He teaches graduate level courses in the Masters of Management of Artificial Intelligence, MBA, Master of International Business and Masters of Finance programs. His current research is focused on the implementation of artificial intelligence in finance and law, transaction analysis, visual item recognition, and reinforcement learning related to applied business applications.
2. Application of AI in Defending against Financial Crimes
Nisal Samarakkody, Senior Manager, Omnia AI, Deloitte Canada
Nisal Samarakkody is a Senior Manager in Deloitte Canada’s AI practice (Omnia) and brings a wealth of innovative solutions using capabilities such as machine learning and cognitive computing to solve complex cross channel business problems. He is specialized within the Financial Services Industry and has helped his clients mitigate financial crime through the development of a common data taxonomy/architecture, data repository, operating model and cross channel financial crime scenarios across different domains such as Cyber, Fraud, Insider threat and AML.
3. Improving Malware Detection using AI
Vikash Yadav, Data Scientist, RBC
Vikash Yadav is a data scientist with the Royal Bank of Canada. He is a graduate of Simon Fraser University where he completed an MSc in Computer Science with a focus on big data and machine learning. His research interests include applications of deep learning and natural language processing techniques in Computer Security. Recently he is engaged in research projects to apply machine Learning and graph analytics to identify fraudulent SWIFT transactions.