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.
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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