Are you utilising the latest technological advancements in machine learning and data science for your quantitative modelling to ensure you maintain a competitive edge?

Join experts from the The Monarch Partnership, Uniper, EWE Enerji, Louis Dreyfus Company, Axpo Solutions Gaznat, and many more at this practical conference to assess how financial institutions are utilising AI, ML and data science to enhance the predictive and risk modelling of their commodities in order to gain a competitive edge.

Download flyer

Attending this conference will enable you to
– Enhance the use of machine learning, deep learning, data science and AI techniques for quantitative modelling of commodities
– Improve modelling of volatility and correlation between different assets in commodity markets
– Advance accuracy of renewable models to better capture renewable
– Refine data quality, mining and extraction to support commodity modelling and quantitative trading techniques

Interested? For delegate fees and details on how to book a seat with early bird discount*, simply click below to send a request.

More information request

*Limited. Not for consultants and solution providers