Aida Mehonic shares a case study of an investment fund that is developing and deploying AI capability in stages across business functions, including trading, marketing, research, and reporting, and offers a practical guide to setting up policies and operations that can support the development of a mature AI capability. For each business function, Aida explores the benefits and the limitations of current AI solutions and an estimated return on investment. Aida concludes with a glimpse at future opportunities and strategic positioning.
Dr Aida Mehonic is a Programme Manager for AI at The Alan Turing Institute. Previously, she was a Principal at ASI Data Science where she has led the delivery of data science projects for investment funds, multinationals, government and NGOs.
She holds a PhD in Theoretical Physics. Her research into the physics of tumour formation was published in Nature and she won a Bronze Medal at the International Physics Olympiad. After her PhD, she worked in quantitative roles in financial markets, most recently as a Quant Strategist at J.P. Morgan Investment Bank covering credit markets in the No.1 ranked research team in Europe according to Institutional Investor.
She’s a regular speaker at conferences and round tables, including O’Reilly’s A.I. Conference, Strata Data, Newsweek’s AI in Capital Markets, Battle of the Quants and others.
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