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.
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.
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.
We talk to Chris Woodcock, Essentia's new Head of Product. He reveals his early career as a professional football player and explains why buy-side software is always better when it's built by people who have been portfolio managers themselves.
Despite the hype, artificial intelligence is not yet capable of replacing human fund managers altogether. Indeed, a new categorisation of AI - augmented intelligence - is fast becoming the secret weapon of enlightened investors. We review how they're doing it.
Despite predictions to the contrary, humans are still better-equipped than computers when it comes to decision-making in complex, uncertain conditions. As a result, industries like asset management should be using technology to support its humans, not replace them.
It's easy to postpone change - especially in a difficult market environment. But now is the time for active managers to make better use of the new technology now available to them, and level the playing field with the growing sources of competition.
Speculation is increasing about Google’s ambitions in the asset management space. In this article, Eric Rovick argues that the real threat is not Google’s technology, but its culture and a willingness to focus on process and behavior. Today’s asset managers would do well to learn from this approach as more new entrants enter the market.