New
York City, NY, USA -- According to Jeff Dean, Senior Fellow at
Google, no more than a few thousand companies today have the right
talent for building Artificial Intelligence, but many more have the
necessary data. For Edgar Perez, author of The AI Breakthrough,
Knightmare on Wall Street and The Speed Traders, the urgent goal
today is to take A.I. from thousands of organizations solving deep
learning problems to millions, as soon as possible.
The
impact of Artificial Intelligence cannot be underestimated. Millions
of jobs will be radically transformed across hundreds of thousands
companies around the world. Tasks that still require a heavy human
component will be automated, leaving former employees with few
options: upgrade your skills or go unemployed. For those who decide
to acquire new skills, the sudden increase in productivity will bring
a new wave of opportunities that will create jobs we can't even
imagine as of today.
Today
firms can deploy Deep Learning frameworks like Caffe, Theano or
TensorFlow and not require an army of PhD-educated employees to
undertake these efforts. These different frameworks are doing
essentially the same thing: allowing firms to write less code to
accomplish meaningful tasks. Some of these frameworks are more
general than others, but as long as employees can specify the
architecture in a framework of their choice, they will be able to get
a working model.
"In
addition to the required expertise in Artificial Intelligence,
companies will need to consolidate data currently available as well
as conceive innovative ways to start collecting new data. The
strength of their models will be supported by the availability of
data representative of the real world," says Perez.
He is a well-known international futurist, Artificial Intelligence
and Deep Learning keynote speaker who currently offers the world's
first Deep
Learning workshop for Fortune 500 firms and private
equity groups.
RECENT
TESTIMONIALS
• "Thanks
for the great work training our employees. You really made a
difference!" Global Chief Information Security Officer
• "After
working with a number of vendors, we found your team to be in a
qualitatively different level. By that I speak to your deep expertise
and exemplary professionalism." Divisional Chief Information
Officer
• "The
team that Edgar has assembled is top-notch. There are no words to
express our satisfaction with your high-quality delivery."
Member of the Board of Directors
• "The
program provides a comprehensive approach for any organization to
lead in technology readiness." IT Coordinator
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 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 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, Taipei and Warsaw, among other
global capitals. He contributes to The New York Times and China's
International Finance News and Sina Finance.
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
No comments:
Post a Comment