Sloane Ortel and Thomas Brigandi's examination of the seven asset owner organizations shaping the market and a review of Richard Bookstaber's The End of Theory by Robert N. Farago, ASIP, are among the leading Enterprising Investor posts from February.
We are witnessing the beginning of the artificial intelligence (AI) era. So what do investment managers need to know about AI, deep learning, and machine learning? Larry Cao, CFA, weighs in.
Here is a scenario: You are the portfolio manager of an active equity fund. You wake up one morning to the news that a labor strike is delaying flights at an airline in your portfolio.
With investment processes and strategies growing ever more indistinguishable, artificial intelligence (AI) can help unlock machine-aided growth while balancing human desires with what's technically feasible and financially viable, says David Townsend, CFA.
“ALIS” stands for “autonomous learning investment strategies.” The ALIS wave is driven by smaller funds that leverage recent advances in artificial intelligence (AI) and machine learning, the explosion in data availability, and inexpensive cloud computing to generate alpha at a fraction of the cost of traditional managers.
An unorthodox solution to the US retirement crisis from Sloane Ortel; a discussion of Nobel laureate Richard H. Thaler's contributions to economics by Lauren Foster; and an analysis of the value of self-awareness by Jim Ware, CFA, are among the top EI posts from October.
Artificial intelligence (AI) is making inroads into private wealth management in both investment management and practice management. It’s an exciting time for AI, but will it cause more disruption or innovation for wealth managers?
How will artificial intelligence (AI) affect the world of retirement accounts, specifically defined contribution (DC) plans? Sahil Sethi, CFA, anticipates several stages of development.
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