Financial institutions across the APAC region are trying to see how best to leverage on machine learning techniques and artificial intelligence in the quantitative analytics space to optimise and improve the efficiency of their processes. Attending this premier GFMI conference will help delegates understand the intricacies of machine learning techniques in addition to their applications in the front office and trading as the advancements of machine learning and artificial intelligence becomes ripe for innovation. Practical, real world examples of managing the data challenges of machine learning models and the continuous monitoring to be done will be discussed as well as the budding use of alternative data sources. See how financial institutions are testing the technology and justifying the cost of implementation of these hot technologies in the quantitative analytics space. Detailed case studies will present how machine learning tools, when used effectively, can potentially benchmark client prices, predict market signalling and alleviate the huge computational challenges of XVA calculations, so that delegates leave the event with a clear road map for the next steps in progression.

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