Tag Archives: machine learning

World’s First Artificial Intelligence Workshop in Stockholm, Brussels, Singapore, HK, Seoul and NY

The Deep Learning Workshop for Today’s Strategic Leaders in Stockholm, Brussels, Sao Paulo, Mexico City, Kuala Lumpur, Abu Dhabi, Seoul and Hong Kong will provide key insights into current and future developments for deep learning, with particular emphasis on what organizations can do today to leverage this revolutionary technology and apply it to their most pressing challenges.

New York City, NY, USA — The Deep Learning Workshop for Today’s Strategic Leaders will bring the latest insights in artificial intelligence and most specifically deep learning to executives, managers, directors, consultants and regulators. Attendees to these innovative workshops organized by GLDNAcademy.com in Stockholm, Brussels, Kuala Lumpur, Abu Dhabi, Sao Paulo, Mexico City, Seoul and Hong Kong will:

• Get up to speed on how artificial intelligence, machine learning and deep learning will impact global business
• Review key enabling technologies including big data and scalable computing processing
• Understand the role of deep learning in healthcare, manufacturing, transportation, customer service and finance
• Look at the landscape of how artificial intelligence stands today, why it is gravitating towards deep learning and how that fits in to the organization’s future
• Devise a strategy to move the organization forward that focused on the company’s most pressing points to leverage deep learning
• Learn to personalize the customer experience with techniques similar to Google searches and Amazon recommendations
• Start applying TensorFlow, the most widely-used deep learning framework, in the organization
• Embed deep learning in the organization’s existing technology development life-cycle

The Deep Learning Workshop for Today’s Strategic Leaders will provide key insights into current and future developments for deep learning, with particular emphasis on what organizations can do today to leverage this revolutionary technology and apply it to their most pressing challenges.

ABOUT THE DEEP LEARNING WORKSHOP FOR TODAY’S STRATEGIC LEADERS
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.

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.

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.

GLDNAcademy.com’s The Deep Learning Workshop for Today’s Strategic Leaders will show attendees how to harness the opportunities deep learning offers, how to identify challenges and how to prepare their organization for what the future holds. From financial trading to autonomous vehicles and from robotics to automated cancer diagnoses, practical applications for deep learning are already here and will impact businesses for years to come.

ABOUT THE CYBERSECURITY WORKSHOP FOR TODAY’S STRATEGIC LEADERS
Despite the ongoing cyber threat that is witnessed through news reports almost on a daily basis, firms are still neglecting proper cybersecurity planning. As information technology becomes ever more complex and Internet of Things applications progressively widespread, cybersecurity is becoming an increasingly important and business-critical field. Unfortunately, a recent study from security solutions provider Resilient Systems and market research firm Ponemon broke down key areas of continued failure for organizations.

The study found that 66% of IT and security professionals surveyed said their firms were unprepared to recover from a cyber attack, and 75% lacked a formal incident response plan. A key example of this unpreparedness is that fact that many of the companies impacted by the WannaCry ransomware attack had not installed patches in their Windows infrastructure that were released by Microsoft months before. Vulnerabilities in commercial software are common; the only solution is to stay abreast of manufacturer’s releases.

In order to help businesses in their cybersecurity planning, the Cybersecurity Framework released in February 2014 following a collaborative process involving industry, academia and government has been widely adopted by many types of organizations around the world, quickly becoming the de facto standard by which cyber security is going to be measured.

GLDNAcademy.com’s The Cybersecurity Workshop for Today’s Strategic Leaders will bring leaders up to speed on the most recent and battle-tested approaches to protect their companies’ valuable information and intellectual property from prying eyes of hackers and competitors. Attendees to the program will learn how to apply the Cybersecurity Framework in their organizations and erect strong defenses for their valuable customer and employee data and intellectual property.

ABOUT GLDNACADEMY.COM
GLDNAcademy.com invites CEOs, board members, managers, leaders and professionals to expand their horizons:

• To meet fellow leaders, entrepreneurs, executives, managers, investors and regulators looking for the industry insights that will move the needle in their organizations
• To engage with an experienced faculty that exhibits the deepest knowledge across the most practical and challenging matters that really matter for businesses today
• To become part of the most engaging professional network of leaders in the world

GLDNAcademy.com offers seminars in dozens of industries and functional areas. Each and all of these programs incorporate the following:

• Relevant programs offered in the top business capitals of the world
• World-class faculty with access to the top echelons of the world’s most innovative organizations
• State-of-the-art workshops that incorporate hundreds of hours delivering the best
• Pre-program questionnaires that provide key information that permeates our offerings
• Thousands of satisfied attendees from all over the world

Media Contact:
Melania Pulitzer
Managing Director
GLDNAcademy.com
+1-414-FORUMS0
mjp@gldnacademy.com
http://www.gldnacademy.com

Deep Learning Consultant in Mission to Bring Artificial Intelligence Expertise to Millions of Firms

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 — 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
jpetrova@thespeedtraders.com
http://www.mredgarperez.com

Key Challenges Remain for the Application of Deep Learning and Artificial Intelligence in Finance

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.

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 cybersecurity 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 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
jpetrova@thespeedtraders.com
http://www.mredgarperez.com

Deep Learning Will Empower Not Replace Humans, Says Artificial Intelligence World Expert Edgar Perez

Edgar Perez, author of The AI Breakthrough, Knightmare on Wall Street and The Speed Traders and former strategy consultant with McKinsey, partnering with Terrapinn Training in 3-Day Masterclass in Deep Learning and Artificial Intelligence.

London, UK — According to The New York Times, perhaps no company embodies the anxieties and hopes around automation from Artificial Intelligence applications better than Amazon. Many people, including President Donald Trump, blame the company for destroying traditional retail jobs by enticing people to shop online. At the same time, the company’s eye-popping growth has turned it into a hiring machine, with an unquenchable need for computer science graduates and entry-level warehouse workers.

Amazon’s global workforce is three times larger than Microsoft’s and 18 times larger than Facebook’s. Only a few weeks ago Amazon took the unusual step of announcing it wanted a second home outside Seattle with up to 50,000 new jobs, starting what is sure to be a fierce bidding war to lure Amazon and the thousands of high-paying jobs it will bring to town using a combination of tax breaks and other sweeteners.

The plan is the latest surprise from Jeff Bezos, Amazon’s chief executive, who has reshaped Seattle in the more than two decades since he founded Amazon. Bezos overshadows even Bill Gates, the former Microsoft chief executive who put the Seattle area on the map as a destination for tech companies; Amazon is now the biggest corporate employer in Seattle, and it occupies 19 percent of the prime office space in the city, more than any other employer in a big American city, The Seattle Times reported.

Amazon is on the forefront of automation, finding new ways of getting robots to do the work once handled by employees. For Edgar Perez, author of The AI Breakthrough, Knightmare on Wall Street and The Speed Traders, the advancement of artificial intelligence will increase productivity, create new demand from current and new customers and, ultimately, create completely new categories of jobs. “Just look at the automotive industry,” says Perez; he is a well-known international futurist, artificial intelligence and deep learning speaker who currently offers the world’s first Deep Learning programs for Fortune 500 firms and private equity groups.

Perez, author of Knightmare on Wall Street and The Speed Traders, is a recognized futurist, keynote speaker and director of programs targeted at board members, chief executive officers and senior executives looking for new ways to gain and maintain a competitive business advantage.

RECENT TESTIMONIALS
• “Thanks for the great work training our employees. You really made a difference!” Global Chief Information Security 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
• “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 program provides a comprehensive approach for any organization to lead in cybersecurity readiness.” IT Security 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 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, business consultant for billion-dollar private equity and hedge funds and Council Member at the Gerson Lehrman Group, Guidepoint Global Advisors and Research International, with subject matter expertise in cyber security, investing, trading, financial regulation (Dodd-Frank Act) and market structure.

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 is course director of 3-Day Masterclass Cybersecurity, Longest Running Cyber Security Business Workshop and 3-Day Masterclass Quantitative Finance, The World of Quant Finance. He has presented his workshops in Singapore, Hong Kong, Sao Paulo, Seoul, Kuala Lumpur, Warsaw, Kiev, New York, Singapore, Beijing and Shanghai. 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 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 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
jpetrova@thespeedtraders.com
http://www.mredgarperez.com