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THE MOST COMPREHENSIVE EXECUTIVE WORKSHOP ON DEEP LEARNING TODAY: Comprehensive Overview – Enabling Technologies – World of Opportunities

by Edgar Perez

Languages: English, Spanish

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About the trainer:

Edgar Perez is one the world’s few business and technology experts who can light up a room with insightful and educational presentations on subjects that range from artificial intelligence and deep learning to quantum and neuromorphic computing and from cybersecurity to the latest on investing. A published author and energetic keynote speaker, he is Council Member at the Gerson Lehrman Group, Guidepoint Global Advisors and Internal Consulting Group. Mr. Perez is author of 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), 交易快手, published in Mandarin by China Financial Publishing House (2012), and Investasi Super Kilat, published in Bahasa Indonesia by Kompas Gramedia (2012). Mr. Perez has presented in front of thousands of top executives around the world through keynote speeches and both public and in-house corporate training programs on quantum computing, artificial intelligence, deep learning, cybersecurity, and financial trading. He has presented in Beijing, Berlin, Boston, Chicago, Hong Kong, Jakarta, Kiev, Kuala Lumpur, Lima, London, Miami, Naples, New York, Santiago, Sao Paulo, Scott Air Force Base, Seoul, Shanghai, Singapore, Stockholm, Taipei, Warsaw and Washington DC, among other global capitals. He contributes to The New York Times and China’s Sina Finance. Mr. Perez has been interviewed on CNN‘s Quest Means Business, CNBC‘s Squawk on the Street, Worldwide Exchange, Cash Flow, Street Signs, 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, Channel NewsAsia‘s Business Tonight and Cents & Sensibilities. Mr. Perez has presented to the U.S. Department of Defense, U.S. Securities and Exchange Commission, Council on Foreign Relations, Vadym Hetman Kyiv National Economic University (Kiev), Quant Investment & HFT Summit APAC (Shanghai), CFA Singapore, Hong Kong Securities Institute, Courant Institute of Mathematical Sciences at New York University and University of International Business and Economics (Beijing), among other public and private institutions. In addition, Mr. Perez has spoken at a number of global conferences, including Institutional Investor’s CEO Roundtable (Berlin) and Global Growth Markets Forum (London), Cyber Security World Conference (New York), Inside Market Data (Chicago), Emerging Markets Investments Summit (Warsaw), CME Group‘s Global Financial Leadership Conference (Naples Beach), Harvard Business School‘s Venture Capital & Private Equity Conference (Boston), MIT Sloan Investment Management Conference (Cambridge), TradeTech Asia (Singapore) and FIXGlobal Face2Face (Seoul). Mr. Perez was a vice president at Citigroup, a senior consultant at IBM, and a strategy consultant at McKinsey & Co. in New York City. 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 an MBA from Columbia Business School, New York, majoring in Finance and Management (2002). Mr. Perez is an accomplished salsa and hustle dancer and resides in the New York City area with wife Olga, son Edgar Felipe, and daughters Svetlana Sofia and Mary Olympia.
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THE MOST COMPREHENSIVE EXECUTIVE WORKSHOP ON DEEP LEARNING TODAY: Comprehensive Overview – Enabling Technologies – World of Opportunities by Edgar Perez

About the training

#deeplearning   #identify challenges   #prepare your organization for what the future holds   #practical applications for Deep Learning

Top executives of organizations around the world have probably heard a lot about Artificial Intelligence (AI). Within AI, there is Machine Learning, a technology that enables computers to get better at tasks with more practice. Furthermore, within Machine Learning, there is Deep Learning, which involves algorithms by which computers train themselves using multi-layered neural networks (inspired by the human brain) and vast quantities of data. Deep Learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. Deep Learning effective and efficiently discovers intricate structure in large data sets by using algorithms to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the contiguous layer, which have brought about breakthroughs in processing images, video, speech, audio and financial data. For instance, investors in equities are increasingly seeking cheaper trading options such as exchange-traded funds, as research has shown that active stock pickers generally underperform the wider stock market. Consequently, by 2025, financial institutions will reduce their human workforce by 10%, resulting in roughly 230,000 fewer heads. Most other industries will follow these radical trends as well.

Program

  • DAY 1: HOW DEEP LEARNING HAS EVOLVED

  • SESSION 1: WHAT'S ALL THE FUSS ABOUT?

  • CASE STUDY 1: IDENTIFYING TUMORS WITH IBM’S WATSON

  • SESSION 2: ARTIFICIAL INTELLIGENCE (AI)

  • CASE STUDY 2: BRINGING NEURAL NETWORKS TO THE REALM OF FINANCE WITH EMMA

  • SESSION 3: MACHINE LEARNING

  • DAY 2: HOW DEEP LEARNING WORKS

  • SESSION 1: UNDERSTANDING NEURAL NETWORKS

  • CASE STUDY 1: GOOGLE’S ALPHAGO’S UNPRECEDENTED VICTORY OVER GO CHAMPION

  • SESSION 2: THE IMPORTANCE OF BIG DATA ANALYTICS

  • CASE STUDY 2: AI FINANCIAL ADVISOR MAKES 80 YEAR PROJECTIONS

  • SESSION 3: WHAT IS DEEP LEARNING

  • DAY 3: HOW DEEP LEARNING IS CHANGING THE WORLD

  • SESSION 1: DEEP LEARNING BUSINESS APPLICATIONS

  • CASE STUDY 1: CROWDSOURCING NUMERAI, THE ARTIFICIALLY INTELLIGENT HEDGE FUND

  • SESSION 2: DEVISING AND IMPLEMENTING A SUCCESSFUL DEEP LEARNING STRATEGY

  • CASE STUDY 2: DEEPFAKES AND THE POTENTIAL FOR EXTREME FINANCIAL AND POLITICAL MANIPULATION

Main benefits

  • #Wide collection of the biggest experts
  • #Filters for all kinds of needs
  • #User friendly platform
  • #Fast and cheap
  • #Highest level of proficiency