The aim of this webinar is to give actuaries an approach and checklist of considerations for communicating the results, methods, and technical specifics of a machine learning model to relevant parties.
About the speakers
Chair: Asif John, ARGenesis
Asif has about 20 years of experience in the Insurance and Reinsurance sector. He has twenty years’ experience of performing c-level leadership roles in his domain. A qualified actuary, he is the CEO of AMJ Global Solutions Group and is on a mission to disrupt the Insurance market using data science, machine learning and AI.
Asif is Chair of IFoA Data Science MIG which has in excess of 50 members across five work streams and participates in IFoA data science steering committee, a strategic committee to progress Data Science
Alex Labram, Grant Thornton
Alex is a manager in professional services firm Grant Thornton’s Actuarial & Risk team, where he specialises in quantitative modelling, information systems and deriving insight from data.
Alex has over a decade of experience across the world of data analytics, particularly the financial sector. His diverse consulting background has given him exposure to a wide range of client types, problem domains and solution architectures.
Stelio Passaris, FIS
Stelio Passaris is a systems actuary and solution architect, specialising in actuarial modelling, process improvement, and system automation.
He is a Senior Actuarial Manager at FIS, the world’s largest financial software company, where he provides consulting support on Prophet, the global leader in actuarial projection software.
This webinar will be streamed from 11.00-12.00. There will be time at the end of the session for Q&A.
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