Machine Learning & Artificial Intelligence:
What's Realistic? What's Futuristic?
Presentation Date & Time:
October 15, 2018 - 1:00 PM
Name: Mahmoud Mamlouk
Title: Director - Machine Learning & Artificial Intelligence
Organization: BMO Harris Bank
Defining Artificial Intelligence (AI) and Machine Learning might seem like a daunting task in itself. Most companies don’t realize that they have been doing machine learning for years. With all the AI articles and news releases today, it’s becoming harder and harder to differentiate between a real working application and a futuristic vision. This presentation will walk through the basics of AI and machine learning and how to establish an AI group in a large organization.
Listening to numerous vendors offering AI applications can be overwhelming and choosing which models to tackle first has to be a well-orchestrated exercise. Vendor sales presentations might set unrealistic expectations for senior management and the challenge will be distinguishing between a real application that has been taken to production and a project that stayed in a Proof of Concept stage.
Mahmoud Mamlouk Biography:
As a Director of Machine Learning and Artificial Intelligence, Mahmoud Mamlouk is accountable for leading the evolution and development of a robust and dynamic credit portfolio management framework for the Enterprise. His focus is on credit risk models related to adjudication, loss forecasting, portfolio management and behavioral models for all bank’s asset classes.
Prior to his current role, he was a Senior Manager in quantitative risk where he was leading the credit risk model implementation efforts for the Enterprise wide stress tests as well as the IFRS9 allowance processes. He serves as a subject matter expert in all model implementation, business reporting and technology designs topics.
In his prior roles, he created numerous analytics and reporting tools to enhance the interaction between the model users and the technology infrastructures. He also worked on streamlining and automating numerous manual processes providing further flexibility and auditability to the model results for regulatory and internal use.
Mahmoud joined BMO in 2013 as a Senior Analyst as part of the same group.
Mahmoud graduated with a Master degree with thesis in Aerospace Engineering from the University of Illinois at Urbana Champaign with a concentration in stochastic control of unmanned aerial vehicles and non-linear systems. He also graduated with a Master degree in Engineering from the Ecole Centrale de Lille in France.