Artificial Intelligence in the Investment Industry

Artificial intelligence (AI) is intelligence exhibited by machines.  Artificial Intelligence is the development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.

“Artificial intelligence (AI) in the investment industry is applying machine learning and pattern recognition to the process of systematic trading.” – Mike Shell

Artificial intelligence AI

Some interesting articles on Artificial intelligence:

Artificial Intelligence: The next big thing (T. Rowe Price, 2017)
Artificial intelligence is developing rapidly, with the potential to disrupt many industries. Myriad investment opportunities are emerging, but AI development faces various challenges. This paper explores further.

Artificial intelligence: our savior or humanity’s final invention? (Robeco)
As investors, the authors of this report see opportunities in the ‘narrow’ form of Artificial intelligence (AI). They explain what they mean and explore the likely benefits and drawbacks of AI.

Why Artificial Intelligence is the Future of Growth (Accenture, 2016)
In this Accenture white paper, the authors analyzed 12 developed economies and found that Artificial Intelligence (AI) has the potential to double their annual economic growth rates by 2035.

Harnessing automation for a future that works (McKinsey, 2017)
This report by the McKinsey Global Institute explores automation. Realizing its full potential, according to the authors, requires people and technology to work hand in hand.

Leading Edge: The AI Revolution – Rise of the Machines (RLAM, 2017)
RLAM’s April edition of Leading Edge focuses on investment processes used for stock selection, fixed income investing and asset allocation. Turn to page 11 for a discussion on AI’s role within a sustainable investment strategy.

Intelligent Automation (UBS, 2017)
This 23-page paper by UBS, on artificial intelligence and intelligent automation, addresses the technology that is likely to drive the most significant technological advances in financial services over the mid to long-term.

Why businesses should pay attention to Artificial Intelligence (Deloitte, 2017)
This 10-page paper by Deloitte explains what artificial intelligence (AI) really is, why businesses need to pay attention, and where it is heading.

Using AI to Forecast Financial Markets: An Interview (Pictet, Jan 2017)
Professor Qiang Yang, founding head of the Huawei Technologies Artificial Intelligence (AI) research lab, answers questions put to him by Pictet on how rapid evolutions in AI will affect financial markets.

5 Big Predictions for Artificial Intelligence in 2017 (MIT Technology Review)
Last year was huge for advancements in artificial intelligence and machine learning. But 2017 may well deliver even more. Here are five key things to look forward to.

What can Machine Learning bring to investing? (Bramham Gardens, 2016)
This 8-page paper by Bramham Gardens examines the concept of Machine Learning and its impact on investing. It considers the main differences between Machine Learning and traditional statistics, areas of innovation, and more.