Artificial Intelligence, A Leader’s Guide to Building the Future.
Our world is being transformed by accelerated technological advances that will have a tremendous impact on not only our lives but our businesses and our future as well. Because of the scale, scope, and the complexity of this transformation, the business world, in particular, is changing before our eyes. This transformation is called the Fourth Industrial Revolution.
It is built on the digital revolution and characterized mainly by advances in technology representing new ways in which it becomes embedded within societies. These advances and breakthroughs in technology appear in a number of fields, including Artificial Intelligence (AI), Intelligence Robots, Augmented Reality, Nano-technology, Quantum Computing, biotechnology, Internet of Things (IoT), and Autonomous Vehicles.
In his book “The Fourth Industrial Revolution”, Klaus Schwab suggested that this transformation will have significant impact on businesses, and it will drastically improve the efficiency and productivities of organizations. It will completely change the way they look at everything and will create new ways of doing work. The evidence of this dramatic transformation is all around us and it’s happening at exponential speed. This transformation is mostly driven by Artificial Intelligence.
Software will perform routine cognitive tasks, freeing humans to focus on social and emotional work. Many white-collar jobs will fundamentally change, entirely new jobs will be created, and other jobs will disappear completely. Low-skill jobs such as bookkeeper, assistant clerk, cashier, and so on, which are estimated to be up to 47% of all jobs, are becoming increasingly vulnerable to automation.
The elimination of these jobs will lead to the creation of new positions, opportunities, and fields that take advantage of unique human capabilities focused on creativity, persuasion, social skills, and care. Machines will perform many physical tasks, eliminating the need for physical human labor in tedious, repetitive, and dangerous jobs.
In highly skilled fields, Artificial Intelligence will augment workers. Doctors, for example, will be able to utilize it in order to more quickly and accurately diagnose illnesses. Machines will tackle more complicated physical roles, such as managing household tasks and cleaning streets. Most of our police, firefighters, and security guards will one day be replaced by robots. Parents will hire robot babysitters and nannies. It is estimated that by 2020, automotive manufacturers and technology companies will release the first fully autonomous vehicles to consumers. By 2040, most cars will be autonomous.
Information about Artificial Intelligence can be found everywhere, but it’s fragmented and confusing. It is math intensive, complicated, and does not provide a simple, easy-to-use guide for its implementation. The Artificial Intelligence, A Leader’s Guide to Building the Future book will give business leaders the tools to effectively deploy Artificial Intelligence in their organizations.
It covers the technologies that make Artificial Intelligence possible, such as the Internet of Things (IoT), cloud computing, and Big Data, it also describes Machine Learning and Deep Learning and their associated algorithms including Convolutional Neural Networks for Computer Vision (CV), and Recurrent Neural Networks (RNN) for speech recognition and their applications in Healthcare, Financial Services, Automotive, and Telecom industries.
The book also discusses how Artificial Intelligence is currently applied and how to Design new products and services. Finally, the book introduces an implementation model which outlines the steps necessary to successfully deploy Artificial Intelligence in an organization.
Artificial Intelligence answers many questions: how do we start an AI initiative? How do we understand AI technology and jargon and learn our options? Who is the best person to lead our AI efforts? Also, it discusses infrastructure, platform selection, Artificial Intelligence projects, and how to deal with cultural change issues, algorithm biases, security, and ethics.