Machine Learning 'Nowhere Near' Replacing Human Traders

While beneficial, the best examples of machine learning integrate human influence, say execs at this year's North American Buy-Side Technology Summit.

Elliot Noma, managing director at Garrett Asset Management

While machine learning and other artificial intelligence (AI) techniques are increasingly necessary in order to process the vast amount of information trading firms take in on a daily basis, the most successful models are often based on human actions.

“Probably the best algorithms out there for natural-language processing are a very well-thought-out process of figuring out what humans do when they read a financial text,” says Miquel Noguer Alonso, an executive director at UBS and adjunct

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