GFMI

The Machine Learning in Quantitative Finance conference is an annual event which aims to provide insights into how machine learning can be implemented more effectively within business operations and assess best solutions to deal with the challenges posed by machine learning. The conference will offer case studies on how financial firms can implement machine learning within business operations with utmost effectiveness. Furthermore, the current regulatory environment will be examined and the best practices for implementation of alternative and synthetic data will be discussed and evaluated .