Top executives of organizations around the world have 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 financial trading, transportation, 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 weights and biases 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.
This program focuses on practical applications of artificial intelligence for business using TensorFlow, the most widely-used deep learning framework from Google. Deep learning is already impacting every part of business today; in fact, PwC has warned that automation could replace 38% of all American jobs by 2030. Deep learning will continue to be a rich source of insights from ever-growing data sets being evaluated by powerful algorithms, enabling companies to make better decisions.
The Executive Artificial Intelligence / Deep Learning Workshop will show attendees how to harness the opportunities deep learning offers and how to prepare their organization. Practical applications for deep learning will impact businesses for years to come.
Some of the Learning Outcomes
Trainer
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.
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 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, GPW Media, Channel NewsAsia‘s Business Tonight and Cents & Sensibilities.
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 with wife Olga, son Edgar Felipe and daughter Svetlana Sofia.
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Who should attend?
- Healthcare Companies
- Transportation Companies
- Banking and Financial Services
- Law and Consulting Firms
- Insurance Companies
- C-Suite Executives: CIOs, CTOs, COOs and CEOs
- Chief AI Officers
- Chief Customer Officer
- Chief Data Officers
- Chief Digital Officers
- Chief Innovation Officers
- Chief Learning Officers
- Chief Legal Officers
- Chief Medical Officers
- Chief Product Officers
- Corporate Strategists
- Data Management
- Heads of AI
- Heads of Big Data
- Heads of Deep Learning
- Heads of Machine Learning
- Investment Managers
- IT Managers
- Private Equity Executives
- Research Managers
- Security Analysts
- Venture Capitalists
