The challenges of applying Deep Learning to Investment Banking
Investment banking represents a high-margin finance field where artificial intelligence and Deep Learning are still under-exploited. This is also due to barriers in terms of domain knowledge, data quality and data processing. During his talk, Daniele Grassi illustrates these main challenges and some proposed solutions.
Daniele Grassi has a Master’s degree in Computer Science from the University of Modena and Reggio Emilia, and founded his first company during his studies. In 2013 he combined his two main interests steering the company’s R&D effort to Artificial Intelligence applied to finance, and spun-off Axyon AI in 2016 to exploit the technology advances obtained during this process. Daniele is now CEO and CTO of Axyon AI.