Artificial Intelligence
AI’s growing capabilities challenge traditional investment skill, shifting competitive advantage toward governance, process, and judgment.
Yann LeCun’s testimony reframed for investment leaders: why AI sovereignty, platform control, and LLM economics shape organizational risk.
These popular publications from CFA Institute Research and Policy Center offer practical insight for leaders shaping investment decisions.
This quarter's top reads reveal what's capturing the attention of investment professionals.
As complex ML models become more prevalent in investment management, their tendency to overfit to specific historical conditions poses a growing risk to investment outcomes.
How can we design a financial system that integrates AI with human intelligence?
The Index Industry Association's 2024 asset manager survey reveals a much deeper set of challenges, opportunities, hopes, and concerns.
AI is more than just another technology. It is a transformative force with the potential to redefine investment management. The industry's most significant barrier to harnessing this power is the widening AI skills gap.
Big data-driven AI in financial services is a technology that augments human capabilities. We are living in countries governed by the rule of law, and only humans can adopt safeguards, make decisions, and take responsibility for the results.
For active management to acquire sufficient alpha to eclipse passive, a paradigm shift driven by new technologies and new methods is required. That's where Ensemble Active Management (EAM) comes in.