The right way for investors to use machine learning

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Fund managers need to think outside the machine learning "black box" if they want to get the most from this powerful advance in analytical capability. Market data is simply too complex and noisy for the kind of predictive big data being used in other sectors.

Active management does have a future – and here’s what it looks like

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Former PM and buy-side thought leader, Jason A. Voss, considers how the industry will evolve over the next 7-10 years, and the change that's needed to develop a new breed of successful active manager.

What do poker and investing have in common? Our 7 favorite quotes

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Poker is a well-known training ground for many investors and traders. Here is a short but sweet collection of our favorite quotes on the relationship between playing a strong hand at the poker table and making a canny investment decision.

Why investing is like poker (but not chess)

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Poker legend Annie Duke talks to Clare Flynn Levy about the similarities between poker and investment, and why she believes that human decision-making can hold its own against the algorithms in a world of decision-making complexity.

Show me the continuous improvement

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Asset allocator, Emmet Maguire III, reflects on how it's become harder to find differentiated equity strategies, and why he's now seeking out managers who can demonstrate they are tackling cognitive bias and finding ways to continuously improve their investment process.

“When you get clever with data, it can be truly beautiful”

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We talk to Snežana Pejić PhD, Senior Quantitative Researcher at Essentia's London office. She tells us why crunching investor performance data trumps a life in academia, and how the new union between technology and behavioral science is helping people to become better investors.