New
York City, NY, USA -- While many industries susceptible to
automation already been widely adopting Deep Learning, its
application has only been growing recently in financial trading.
While it is true that asset managers of all sizes are recruiting
every Deep Learning professional they can contact, it is also true
that traditional alphas are getting very hard to make money on; in
fact, Deep Learning is not making a substantive difference, yet.
Investment
firms today are looking for information in new data sources like
shipping receipts, customer feedback on Twitter, speeches by federal
reserve members (even attempting to categorize the tone or word
selection in these speeches), and literally anything under the sky.
Most of this data is unstructured and there is very little precedence
to it. It would be close to impossible to make simple predictive
models. Deep Learning has been used to take a lot of unlabeled data
and successfully learn the structure. That will help to improve the
accuracy of their models.
For
Edgar
Perez, author of The
AI Breakthrough, Knightmare
on Wall Street and The
Speed Traders, the advancement of deep learning
will impact financial trading in the near-term future. Some firms are
using Convolutional Neural Networks (CNNs) to analyze trading charts
to see if they can identify patterns in stock trading charts; other
firms are using Deep Reinforcement Learning (Deep Q Learning) to
analyze the optimal times to trade. Ultimately, "the application
of deep learning in trading will be second nature," says Perez;
he is a well-known international futurist, artificial intelligence
and deep learning speaker who currently offers the world's first Deep
Learning workshop for Fortune 500 firms and private
equity groups.
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ABOUT
THE AI BREAKTHROUGH
Artificial
intelligence has been referred as the general ability of a digital
computer or computer-controlled robot to perform tasks commonly
associated with intelligent beings. The term has indeed been
frequently applied to the project of developing systems endowed with
the intellectual processes characteristic of humans, such as the
ability to reason, generalize, discover meaning, or learn from past
experiences. Since the development of the digital computer in the
1940s, it has been demonstrated that computers can be programmed to
carry out very complex tasks with great proficiency. Still, despite
continuing advances in computer processing speed and memory capacity,
there are as yet no programs that can match human flexibility over
wider domains or in tasks requiring much everyday knowledge.
In
1945, British logician and computer pioneer Alan Turing predicted
that computers would one day play very good chess. Just over 50 years
later, in 1997, Deep Blue, a chess computer built by IBM beat the
reigning world champion, Garry Kasparov, in a six-game match. Since
then, a number of programs have attained the performance levels of
human experts and professionals in performing certain specific tasks,
so that artificial intelligence is now found in applications as
diverse as medical diagnosis, computer search engines, and voice or
handwriting recognition.
Indeed,
deep learning has enabled many practical applications of machine
learning and by extension the overall field of artificial
intelligence. Deep learning breaks down tasks in ways that makes all
kinds of machine aids seem possible, even likely. Driverless cars,
better image recognition, even better movie recommendations, are all
here today. Artificial intelligence is the present and the future.
The
AI Breakthrough, How Artificial Intelligence is Advancing Deep
Learning and Revolutionizing Your World, will provide a comprehensive
review of the artificial intelligence breakthroughs of today and
tomorrow and how these advancements will impact businesses and the
human race in general for years to come.
ABOUT
EDGAR PEREZ
Mr.
Edgar Perez is a published author, keynote speaker, business
consultant for billion-dollar private equity and hedge funds and
Council Member at the Gerson Lehrman Group, Guidepoint Global
Advisors, Research International and Internal Consulting Group, with
subject matter expertise in artificial intelligence and deep
learning, cyber security and financial regulation (Dodd-Frank Act).
He
is author of The AI Breakthrough, How Artificial Intelligence is
Advancing Deep Learning and Revolutionizing Your World (2018),
Knightmare on Wall Street, The Rise and Fall of Knight Capital and
the Biggest Risk for Financial Markets (2013), and The Speed Traders,
An Insider's Look at the New High-Frequency Trading Phenomenon That
is Transforming the Investing World, published in English by
McGraw-Hill Inc. (2011), Published in Mandarin by China Financial
Publishing House (2012), and Investasi Super Kilat, published in
Bahasa Indonesia by Kompas Gramedia (2012).
Mr.
Perez has been interviewed on CNN's Quest Means Business, CNBC's
Squawk on the Street, Worldwide Exchange, Cash Flow and Squawk Box,
FOX BUSINESS's Countdown to the Closing Bell and After the Bell,
Bloomberg TV's Market Makers, CNN en Español's Dinero, Petersburg -
Channel 5, Sina Finance, BNN's Business Day, CCTV China, Bankier.pl,
TheStreet.com, Leaderonomics, GPW Media, Channel NewsAsia's Business
Tonight and Cents & Sensibilities. In addition, Mr. Perez has
been featured on Sohu, News.Sina.com, Yicai, eastmoney, Caijing,
ETF88.com, 360doc, AH Radio, CNFOL.com, CITICS Futures, Tongxin
Securities, ZhiCheng.com, CBNweek.com, Caixin, Futures Daily, Xinhua,
CBN Newswire, Chinese Financial News, ifeng.com, International
Finance News, Finance.QQ.com, hexun.com, Finance.Sina.com, The Korea
Times, The Korea Herald, The Star, The Malaysian Insider, BMF 89.9,
iMoney Hong Kong, CNBC, Bloomberg Hedge Fund Brief, The Wall Street
Journal, The New York Times, Dallas Morning News, Valor Econômico,
FIXGlobal Trading, TODAY Online, Oriental Daily News and Business
Times.
Mr.
Perez has addressed thousands of top executives around the world
through keynote speeches and corporate training programs on
artificial intelligence, deep learning, cybersecurity and financial
trading. He has presented in Beijing, Chicago, Hong Kong, Kiev, Kuala
Lumpur, Lima, London, Miami, Naples, New York, Santiago, Sao Paulo,
Seoul, Shanghai, Singapore, Stockholm and Warsaw, among other global
capitals. He contributes to The New York Times and China's
International Finance News and Sina Finance.
Mr.
Perez has presented to the Council on Foreign Relations, Vadym Hetman
Kyiv National Economic University (Kiev), Quant Investment & HFT
Summit APAC (Shanghai), U.S. Securities and Exchange Commission
(Washington DC), CFA Singapore, Hong Kong Securities Institute,
Courant Institute of Mathematical Sciences at New York University,
University of International Business and Economics (Beijing), Hult
International Business School (Shanghai) and Pace University (New
York), among other public and private institutions. In addition, Mr.
Perez has spoken at a number of global conferences, including Cyber
Security World Conference (New York), Inside Market Data (Chicago),
Emerging Markets Investments Summit (Warsaw), CME Group's Global
Financial Leadership Conference (Naples Beach, FL), Harvard Business
School's Venture Capital & Private Equity Conference (Boston),
High-Frequency Trading Leaders Forum (New York, Chicago), MIT Sloan
Investment Management Conference (Cambridge), Institutional
Investor's Global Growth Markets Forum (London), Technical Analysis
Society (Singapore), TradeTech Asia (Singapore), FIXGlobal Face2Face
(Seoul) and Private Equity Convention Russia, CIS & Eurasia
(London).
Mr.
Perez was a vice president at Citigroup, a senior consultant at IBM,
and a strategy consultant at McKinsey & Co. in New York City.
Previously, he managed Operations and Technology for Peruval Finance.
Mr. Perez has an undergraduate degree in Systems Engineering from
Universidad Nacional de Ingeniería, Lima, Peru (1994), a Master of
Administration from Universidad ESAN, Lima, Peru (1997) and a Master
of Business Administration from Columbia Business School, New York,
with a dual major in Finance and Management (2002). He belongs to the
Beta Gamma Sigma honor society. Mr. Perez is an accomplished salsa
and hustle dancer and resides in the New York City area.
Media
Contact:
Julia
Petrova
Media
Relations Coordinator
The
Speed Traders
+1-414-FORUMS0
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