FIS Stanford 2024
Machine learning ‘overcoming key challenges’ in stock picking
Once regarded as a black-box approach to supporting asset management, AI and machine learning is becoming increasingly effective and transparent, now more of a "crystal box" and a useful tool for stock-picking and explaining performance attribution to clients, the Fiduciary Investors Symposium at Stanford University has heard.
Prashant MehraSeptember 19, 2024