Edgar Perez, author of The AI Breakthrough, How Artificial Intelligence is Advancing Deep Learning and Revolutionizing Your World, and former strategy consultant with McKinsey, partnering with Terrapinn Training in 3-Day Masterclass in Deep Learning in London, Dubai, New York and Singapore.
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.
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