Harnessing Artificial Intelligence to Harvest Alpha
Although artificial intelligence has been on our radar for some time, in the last six months we've seen a surge of interest in the subject, with a number of excellent papers having been published recently on the Savvy Investor site. The papers below highlight a variety of industries and economies where AI has the potential to drive economic growth and improve company earnings.
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)
The authors of this Accenture paper examine 12 developed economies. They find that 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.
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)
In 2016, huge advancements were made in machine learning and AI. This paper by the MIT Technology Review looks back at some of these and examining five key trends, it looks forward at where developments might go in 2017.
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.