“The Evolution of Machine Learning (ML) in Investment Strategies” is an insider’s look into the opaque world of AI/ML-powered investing strategies. The presenter will separate fact from fiction and hype from reality. After a cursory Overview of AI/ML origins and widespread adoption, you’ll hear how leading-edge asset managers are deploying machine learner algorithms and alternative investment data (Alt-Data) to monetize differentiated sources of potential alpha. Although machines have not taken over Wall Street (not yet, anyway), the audience will be surprised to learn just how advanced algorithmic investing is being deployed and its potential disruptive effects on the asset management industry.
The presenter reveals some of the largest practitioners/pioneers of AI/ML-powered investing and emerging players. Increasingly, asset managers combine human and machine intelligence in AI/ML-driven strategies fueling a virtual arms-race for scarce talent. Finally, the presenter speaks about the danger of complacency and the need to commit to lifelong learning and development.
Panelists: Rick Roche, CAIA, Managing Director, Little Harbor Advisors, LLC, and Aaron Filbeck, CAIA, CFA, CIPM, FDP, Director, Global Content Development, CAIA Association
This webcast originally aired on February 9, 2021.