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The public's fascination with artificial intelligence has risen
dramatically in recent years, sparked by advances emerging from Big
Tech. While interesting and thought provoking, the flood of
information can also be confusing and distracting, leading to far
more questions than answers.
In this new E-Book on the topic, we aim to demystify the current
state of Artificial Intelligence (AI) as it relates to investor
relations and give guidance on the trends that could have an impact
to your role today and those that will have an impact tomorrow. The
following topics are covered:
History of AI
The nature of human intelligence and the exploration of whether
machines can replicate it has been a topic of conversation and
debate for centuries.
Definitions
The language of artificial intelligence has grown and evolved along
with the technology. Terms defined include: Artificial Intelligence
(AI), Machine Learning, Deep Learning, Natural Language Processing
(NLP), and Explainable AI.
Sentiment Analysis
Sentiment analysis, also known as opinion mining, is one of the
most highly researched applications in artificial intelligence.
Early versions of sentiment analysis employed simple, rules-based
techniques.
AI in Asset Management
Over the past 15 years, the asset management industry has seen a
slightly different class of funds emerge from both established
players and upstart organizations in applying data science
techniques to existing quantitative methods. In particular:
Asset Managers utilizing AI as part of their process
Asset Managers who are truly AI-powered
Prevalence of AI-powered funds
Anatomy of an AI Fund
The Future of AI and Asset Management
Key Takeaways
Artificial intelligence to be a hot topic of conversation for
investors and investor relations for years to come and to be
increasingly relevant to issuers, investors, and other market
participants.
AI-based sentiment analysis and other potential 'killer apps'
designed for IR are still in the early stage of development.
While some market participants are currently exaggerating the
influence that sentiment analysis has on markets, we do expect the
power of these tools to improve over time.
Machine learning is part of the process for many asset managers
today, but decisions are still mainly being made by humans, and
pure data science players represent a relatively small portion of
the market at present.
As AI grows in significance, IROs should remain apprised of
where the technologies are and most importantly ensure that they
know where they are heading.
To read the complete E-Book on Demystifying AI for IR:
Authored by:
John Londono
Managing Director, Global Head of Product, Technology and
Innovation
Michael Miller
Director, Investor Relations Advisory
Posted 19 May 2020 by Michael Miller, Director, Investor Relations Advisory, IHS Markit
IHS Markit provides industry-leading data, software and technology platforms and managed services to tackle some of the most difficult challenges in financial markets. We help our customers better understand complicated markets, reduce risk, operate more efficiently and comply with financial regulation.
