Experienced in the technology industry, JR Ahn serves as executive in residence at Sutter Hill Ventures, a firm that invests long-term in technology-based companies. JR Ahn’s areas of focus include machine learning.

1. FURTHER APPLICATIONS FOR
MACHINE LEARNING IN FINANCE
JR Ahn

2. INTRODUCTION
 Experienced in the technology industry, JR Ahn serves as executive in
residence at Sutter Hill Ventures, a firm that invests long-term in
technology-based companies. JR Ahn’s areas of focus include machine
learning.
Machine learning is a method of data analysis that enables computers to
perceive hidden insights without being specifically instructed where to
search. According to CIO magazine, this field has been around for some
time but is now gaining wider attention. Recent technological innovations
have incorporated some facets of machine learning.
The financial industry has been utilizing machine learning in such areas
as fraud investigation and credit checking. With more computing power
and open-source solutions available, the industry is applying machine
learning in new areas including asset management, loan approval, and
risk assessment. An example is in hedge fund trading, where machine
learning is used to copy human reaction to current events in making
decisions; a result of a new breakthrough known as sentiment analysis.