FEATURE: DISRUPTIVE TECHNOLOGY
The most important feature of financial
AI is its ability to process large volumes
of data. This lets the AI look for patterns
that a human might miss and recommend
strategies based upon them. Some of the
data is obvious stuff – past performance
of companies, investment in competitors
and the behaviour of other investments.
However, given the huge amount of data
we all create as we go about our lives, it
goes beyond this. Credit card transactions,
news items, even social media chatter can
be factored in by increasingly complex
analytical algorithms. Computer programs
can identify patterns too broad or too subtle
for humans to notice and use them to direct
more profitable investments.
Then there’s modelling. A different sort
of program can be used to predict the
outcomes of investment options. The
computer considers what will happen
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ever-accelerating market, ensuring that
profitable opportunities aren’t missed.
Big Data insights
An AI company specialising in financial
analysis, AnalytixInsight transforms
Big Data into useful knowledge. The
company’s proprietary machine-learning
technology analyses huge volumes of
data, turning figures into actionable
insights. With strategic initiatives in
FinTech, blockchain and workflow analytics,
AnalytixInsight is exploring the potential
of data-driven decision-making for not just
FinTech, but other sectors which include
sports, communications, healthcare,
insurance and government.
This analytical power is primarily deployed
though CapitalCube.com, a portal providing
financial research and analysis. CapitalCube
LIKE ACADEMICS PRODUCING ECONOMIC
FORECASTS, AI CAN PREDICT WHAT
THE MOST PROFITABLE OPTIONS ARE
LIKELY TO BE. THIS IS TIED TO MACHINE
LEARNING, IN WHICH COMPUTERS
EVOLVE THEIR OWN THINKING
STRATEGIES THROUGH OBSERVING
WHAT WORKS AND WHAT DOESN’T.
to an investment in a range of different
circumstances and suggest an optimum
strategy based on this. Like academics
producing economic forecasts, AI can predict
what the most profitable options are likely
to be. This is tied to machine learning, in
which computers evolve their own thinking
strategies through observing what works and
what doesn’t.
One of the greatest advantages of
investment by computer is the speed it
allows. Conclusions can be drawn and acted
upon much more quickly. This allows the
timely buying and selling of stocks in an
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INTELLIGENTCIO
carries out over 100 billion computations
daily, churning through the vast sea of
financial data to create meaningful insights
for investors to act upon. Its outputs include
on-demand fundamental research, portfolio
evaluation and screening tools on over
50,000 global equities and North American
ETFs. CapitalCube provides 3,000 reports
a day, including in-depth analysis, peer-to-
peer performance evaluations, accounting
and earnings reports, dividend strength and
information about likely upcoming corporate
actions such as dividend changes and
acquisitions. This empowers investors to make
the best decisions based upon the data.
Free access to basic financial information
helps draw customers to CapitalCube.
Consumers have the option to pay US$25
per month for in-depth analysis and
predictive analytics, or US$300 per month
for customised peer analysis. Partnerships
with Thomson Reuters, Africa Investor,
Euronext NV, Yahoo Finance, and The
Wall Street Journal add to the depth and
breadth of CapitalCube’s coverage.
AnalytixInsight has recently announced
plans to augment its AI platform by working
with blockchain technology. Blockchain
allows information, including financial
transactions, to be quickly and securely
transferred between users. By creating a
distributed information storage system,
it allows quicker transactions which will
lead to reduced transaction costs and
settlement times for users of CapitalCube
and the company’s other products. The
company believes that this will lead to even
greater revenues from existing multi-year
agreements with partner companies.
This blockchain technology will also be used to
enhance the services provided by Marketwall,
a 49% owned subsidiary of AnalytixInsight.
Marketwall is preparing to deploy a mobile
stock trading and banking app connected to
the MarketHub trading platform.
Projects such as the Marketwall app have the
potential to increase both the insights from
the company and its customers’ ability to
act upon them. Use of the mobile app will
generate data on investment patterns, which
can in turn be used to power the Big Data
analysis that fuels CapitalCube.
The company’s analytical potential is
further boosted by Euclides Technologies,
a subsidiary company focused on Field
Service Management software solutions.
With worldwide customers representing
over 100,000 field service personnel across
multiple industries, Euclides Technologies
has to work with the growing volume of data
generated by that industry. As a result, it is
developing analytics to turn Big Data into
useful insights.
Strategic partnerships for
better analysis
The latest development for AnalytixInsight
is a distribution agreement with Thomson
www.intelligentcio.com