Investment AI: Motivations + Next Gen AI: CL
This presentation addresses the motivations and risks for using AI to drive investment decisions and, secondly, drills down into a next generation AI approach; Continual Learning (CL). Few industries are more ripe for disruption than equities investment management in 2020. Crowded 1990s-era factor quant models are still in demand, while the recent explosion in high-quality data, coupled with the technology to make sense of it, AI, has opened up new alpha opportunities. However, AI comes with its own problems, chief among them outright complexity. Few AI approaches applied to investment, balance inferential-power and complexity well. However, CL may offer an approach. I introduce CL and how it aims to allow machines to accumulate knowledge over time and use this knowledge to make better investment decisions in the future.
Dan Philps, CFA, is head of Rothko Investment Strategies and is an artificial intelligence (AI) researcher. He has 20 over years of quantitative investment experience. Prior to Rothko, he was a senior portfolio manager at Mondrian Investment Partners. Before 1998, Philps worked at a number of investment banks, specializing in trading and risk models. He has a BSc (Hons) from King’s College London, is a CFA charterholder, a member of CFA Society of the UK, holds a post graduate research role at London University, and is a member of the AAAI