No two investment managers are alike. There is no reason why two artificial intelligence (AI)-driven systems should be either, says Parijat Garg, CFA.
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.
“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.
Female-focused machine learning, powered by new hardware and software, will be a key trend for 2018 and beyond, says Barbara Stewart, CFA.
Jason Voss, CFA, shares his picks for Weekend Reads for Investors. This edition features selections on new ways for finance to help poorer nations and the failure of machine learning to break new ground.
We stand at the threshold of an era of pervasive artificial intelligence (AI) in financial services. While it’s tempting to say, “Again?” — this time really is different. Why? Because AI/machine intelligence will be rapidly deployed across financial institutions. And though this evolution is inevitable, we need to be mindful about the ethics of the undertaking. As an industry, we must work together to ensure careful and thoughtful AI integration.
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