Insights

The clear value proposition of any novel technology can be elusive at the beginning; the shock to an established system of a completely new way of doing something creates a mix of excitement and confusion that can be difficult to quantify. On one hand, there’s the inevitable astonishment at the sheer magnitude of new possibilities the emerging technology represents, but that is often followed by an inability to articulate in the end, what value those new possibilities actually might have.

Nicholas Subryan, Head of Artificial Intelligence at Kaiju, discusses the history of AI and machine learning. Nicholas examines the technological phases and applications of artificial intelligence over time. Explaining the power of modern machine learning today, he emphasizes the value of data crunching capability and pattern recognition, which are the basis for how Kaiju has built out its autonomous trading systems.

Kaiju Global Chair and CEO Ryan Pannell talks to Benzinga’s Jordan Robertson about Kaiju’s history using AI, the DIP ETF, and where AI is going in investment management - as well as where the next big technology disruption might occur.

Investors have already been using artificial intelligence for decades and, as the technology becomes more powerful, it will play an increasingly more active role in investment management. However, the terms used to describe AI are not always clear.

Powerful computer software that mimics aspects of human intelligence will transform investing.

For decades, Artificial Intelligence (AI) has excelled at complex mathematical tasks and strategic reasoning. In fact, early versions programmed to play Chess and Go became so good at the games that they were almost unbeatable, while later versions became unassailable. Today, AI’s capabilities have grown well beyond strategic games thanks to more powerful machine learning technology—and those new capabilities are about to transform the world of investing.