Of course, when such a transformative technology like AI is introduced into a financial industry that can be reticent to change and stuck in tried-and-true ways, it can present a challenge. In fact, as Dahya points out, the first AI conference was in 1956 so the technology has been around for some time–with its slow adoption, Dahya cites that incorporating AI will be more an evolution as opposed to a revolution.

“What I think is happening right now if more of a focus and a dialogue,” said Dahya. “What that sort of means though is you have to separate the noise from the truth a little bit.”

AI Uses by Investors and Portfolio Managers

With the availability of AI and its capabilities now being filtered down to the masses, investors can use these tools to incorporate in their own research in order to filter out opportunities. Likewise, portfolio managers and advisors now have access to AI technology that can be built into the financial products, so that investment decisions are made easier by parsing out key points from complex data.

“You’re seeing more and more products right now using AI-driven processes,” said Staines. “Incorporating those can give you an aspect that extends what systematic investing is capable of.”

Of course, as the old adage goes–time is money–that can certainly prove to be beneficial with the incorporation of AI into financial products. By expediting the investment decision-making process even more, portfolio managers and investors can reap the benefits of the efficiency.

“Being able to do the thing you need to do, but faster, better and more precise,” said Dahya.

One area seeing innovation is machine learning. This innovation is able to learn the investment process of humans, harness their nuances and even adjust them over time as processes change–this helps to also remove any investment biases that may be preventing an investor from seeing through the noise.

“By employing a system such as AI, we can attempt to mitigate those types of biases,” said Staines.

“This idea that systematizing the investment process and taking human emotion out of the day-to-day decision making is supplemented by having access to data,” Dayha added.

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