Entering The Age Of Prediction In Quantitative Investment Management

After several false starts, artificial intelligence and machine learning within the quantitative investment management industry is finally coming into its own, bolstered by the rise of cheap computing power, data-storage capabilities and the proliferation of alternative data sets. The dawn of this new “age of prediction” in finance could increase efficiency in trading markets and prove a lucrative investment for firms and people that are able to implement AI strategies effectively. Sondra Campanelli sat down with Tony Guida, a quantitative portfolio manager for a U.K. pension fund and chair of machineByte’s EMEA Think Tank, to discuss some of the most pressing issues facing machine learning today.