DL is being applied to Financial applications such as: algorithmic trading, high-frecuency trading, cybersecurity, fraud detection .....

1. AI FOR FINANCE
April 14th, 2017

2. IN THE FINANCIAL SERVICES INDUSTRY, WE ADDRESS THREE
PRIMARY SEGMENTS: CAPITAL MARKET BANKING, CONSUMER
BANKING, AND THE INSURANCE INDUSTRY.

3. 1. Increased risk management requirements and regulations
2. Growth of agile, mobile, and web-based technology
3. Emergence of Artificial Intelligence (AI), including Deep Learning
(DL) & Machine Learning (ML)
WHAT ARE THE CURRENT TRENDS EMERGING IN
THE FINANCIAL SERVICES SECTOR?

4. DEEP LEARNING IS BEING APPLIED TO FINANCIAL APPLICATIONS
SUCH AS: ALGORITHMIC TRADING, HIGH-FREQUENCY TRADING,
CYBERSECURITY, FRAUD DETECTION, AND MORE …

5. “Faster analytics offer a big advantage.
With conventional computing pushed to its
limits, the financial industry is moving
toward GPUs. Banks and investment
companies are turning to NVIDIA GPUs for
deep learning and AI accelerated
analytics.”
GPUs and Deep Learning
Fueling Finance Industry
READ MOREFor the full article from NVIDIA …
“In finance, banks process millions of transactions
per day, but many can only use a small sample to
model fraud.”
-Kimberly Powell, Senior Director of Deep Learning,
NVIDIA

6. Kinetica’s Eric Mizell, VP of Global Solution
Engineering, and NVIDIA’s Charlie Boyle, Sr.
Director Product Marketing, are joined by
featured speaker Gerald A. Hanweck, phD,
CEO and Co-founder of Hanweck to present
how to:
1. Leverage real-time transaction analysis for
stronger portfolio management.
2. Manage risk and detect fraud by ad-hoc
analysis on large volumes and disparate types
of data.
3. Lower compliance and regulatory costs
For more information on
GPUs Accelerating
Analytics For Finance …
Download NowTo Watch the Webinar …

7. LEADERS IN FINANCIAL SERVICE COMPANIES ARE ALREADY TAKING
NOTICE OF THE BENEFITS EMERGING FROM ADAPTING ARTIFICIAL
INTELLIGENCE …

8. “Chatbots. Personal assistants. Robo-
advisors. Machine learning. Cognitive
computing. And so much more. While the
term artificial intelligence (AI) has been
around for 60 years, it has finally become
part of our daily lives—and how we bank,
invest, and get insured.”
PWC on the Future of AI
in Finance
READ MOREFor the full article from PWC …
“Artificial Intelligence can help people make faster,
better, and cheaper decisions.”
- Anand Rao, Innovation Lead, Analytics, PWC

9. “Hedge funds have been trying to teach
computers to think like traders for years.
An artificial intelligence technology called
deep learning that loosely mimics the
neurons in our brains is holding out
promise for firms. WorldQuant is using it
for small-scale trading, said a person with
knowledge of the firm.”
Hedge Funds Training Their
Computers to Think Like You
READ MOREFor the full article from Bloomberg …
“There’s a huge class of deep-learning models used
in tech firms that can be adapted to financial
processing.”
- Nicolas Chapados, Head, Chapados Couture Capital

10. “More than any other industry, insurers
are expected to use the majority of their
AI budgets on improving current products
as opposed to creating new services, TCS
says. Carriers believe such investments
should have the biggest impact on
customer service, IT, sales, marketing,
and R&D.”
Insurance Companies to
spend $90M by 2020 on AI
READ MOREFor the full article from Info MGMT …
“Insurers are making significant investments in AI to
disrupt themselves before they are disrupted.”
- TCS Report

11. ARTIFICIAL INTELLIGENCE STARTUPS ARE ALSO DRIVING
INSTRUMENTAL CHANGES WITHIN FINANCE …

12. HERE’S FOUR
TRANSFORMING THE
FINANCE INDUSTRY…
• DreamQuark
• MotionsCloud
• Quantenstein
• Cape Analytics

13. DreamQuark currently develops
technologies related to deep neural-
networks with sparse architectures that
can unveil new patterns inside the input
data. We embed these algorithms first
trained on specific datasets into
applications for insurance and financial
services.
TECHNOLOGY
LEARN MORE
DreamQuark

14. MotionsCloud uses a all-in-one mobile
and AI solution to reduce insurance
claim cost, claim cycle time, fraud,
self-service, and improve accuracy of
claims value from a few weeks to a few
hours. All function are implemented
through easy plug & play integrations.
TECHNOLOGY
LEARN MORE
MotionsCloud

15. Quantenstein is an integrated software
platform for automated long-term
value investing that builds on the latest
developments in Deep Learning
technology. Quantenstein optimizes
clinet-specific financial performance
metrics based on data to assemble
tailored portfolios.
TECHNOLOGY
LEARN MORE
Quantenstein

16. Cape Analytics establishes a new
category of property data and analytics,
offering immediacy and coverage
comparable to pre-filled data, but with
the accuracy and types of features for
which an underwriter or other
stakeholder may seek a more costly and
time-consuming report.
TECHNOLOGY
LEARN MORE
Cape Analytics

17. REGISTER FOR NVIDIA GTC 2017 TO LEARN MORE
ABOUT HOW DEEP LEARNING IS IMPACTING
FINANCE …
LEARN MORE