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Anti-money laundering (AML) is a pressing issue for banks to address. Dessa is presenting how to leverage its experience and technology to build a platform to efficiently address this issue.

We will see how to apply Deep Learning techniques for AML, and then how to build a platform that optimizes the path between POCs and production solutions.

By watching this webinar replay, you'll learn:
  • how to apply deep learning techniques for anti-money laundering;
  • about the data collection process, the use of GPUs; and
  • how to build a platform that optimizes the path between proof of concepts and production solutions.

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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.

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Speakers

Aydin Polat

Machine Learning Engineer

Aydin Polat, PhD, is a Machine Learning Engineer at Dessa who is passionate about identifying real-world applications for state-of-the-art AI advancements. At Dessa, Aydin is one of the team’s lead contributors to building a platform for developing and putting enterprise-grade AI systems into production at scale. As part of the Enterprise Solutions team, he also collaborates with business and technical teams to blueprint, build and deploy AI for some of the world’s largest companies. Before joining Dessa, Aydin cultivated experience applying deep learning to solve real-world problems in industries ranging from healthcare to space technology. Aydin has a PhD in Machine Learning from Middle East Technical University in Turkey, where he completed a thesis on hyper-parameter search and feature reuse of deep learning models for computer vision.

Ian Xiao

Engagement Lead at Dessa

Ian Xiao is an Engagement Lead at Dessa who helps some of the world’s largest companies build and deploy high-value applications for deep learning in their businesses. With distinct expertise in finance, Ian has worked with top-tier banks on AI use cases relevant to a diverse range of functions, including Marketing, Operations and AML. Ian’s first experience with AML strategy was in 2012, when he helped a leading Canadian bank transform its AML strategy using Big Data and Analytics. Today, he believes banks can build even better AML solutions by using today’s advanced AI techniques. Before joining Dessa, Ian was a Senior Consultant at Deloitte Canada, where he was a recipient of the firm’s Best Analytics Delivery award. Ian has his Masters of Science in Public Policy and Data Science from New York University, in addition to a Bachelor of Computer Engineering from The University of Toronto.

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Date & Time: Wednesday, April 22, 2018