We've outsourced too much of our thinking. How do we get it back?
At the height of the 2014 Ebola epidemic, a man who had recently returned from West Africa with a fever and severe abdominal pain entered a hospital in Dallas--and was sent home. Even after healthcare workers learned their patient had come from Liberia, ground zero of the Ebola hot zone, not one of those treating him considered the deadly virus as a possible cause of his condition. Shortly after the man died, one of the nurses who had treated him sought clearance from the Centers for Disease Control to board a commercial flight. She reported a fever of 99.5 degrees, but because the protocol restricted travel at 100.4 degrees or higher, she was cleared. She was later confirmed to be infected with Ebola. A public health disaster akin to the one depicted in the movie Contagion was averted, but only by sheer luck.
How could this happen? As Harvard lecturer and global trend watcher Vikram Mansharamani shows in this eye-opening and perspective-shifting book, our complex, data-flooded world has made us ever more reliant on experts, protocols, and technology. We've stopped thinking for ourselves. (Have you ever followed your GPS device to a deserted parking lot?) With stark and compelling examples drawn from business, sports, and everyday life, the author illustrates how in a very real sense we have outsourced too much of our thinking, relinquishing our autonomy.
Of course, experts, protocols, and computer-based systems are essential to helping us make informed decisions. What we need is a new approach for integrating these information sources more effectively, harnessing the value they provide without undermining our own autonomy. The author provides principles and techniques for doing just that, empowering readers with a more critical and nuanced approach to making decisions.
Think for Yourself is an indispensable guide for those looking to restore self-reliant thinking in a data-driven and technology-dependent yet overwhelmingly uncertain world.
Автор: Lee, Bernard Название: Investment analytics in the dawn of artificial intelligence ISBN: 9814730459 ISBN-13(EAN): 9789814730457 Издательство: World Scientific Publishing Рейтинг: Цена: 7128.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A class of highly mathematical algorithms works with three-dimensional (3D) data known as graphs. Our research challenge focuses on applying these algorithms to solve more complex problems with financial data, which tend to be in higher dimensions (easily over 100), based on probability distributions, with time subscripts and jumps. The 3D research analogy is to train a navigation algorithm when the way-finding coordinates and obstacles such as buildings change dynamically and are expressed in higher dimensions with jumps.
Our short title "iaai" symbolizes how investment analytics is not a simplistic reapplication of artificial intelligence (AI) techniques proven in engineering. This book presents best-of-class sophisticated techniques available today to solve high dimensional problems with properties that go deeper than what is required to solve customary problems in engineering today.
Dr Bernard Lee is the Founder and CEO of HedgeSPA, which stands for Sophisticated Predictive Analytics for Hedge Funds and Institutions. Previously, he was a managing director in the Portfolio Management Group of BlackRock in New York City as well as a finance professor who has taught and guest-lectured at a number of top universities globally.
Описание: Blockchain technology and artificial intelligence (AI) have the potential to transform how the accounting and financial services industries engage with the business, stakeholder and consumer communities.
Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes:
- Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI
- AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today's Financial Services Industry
- The future state of financial services and capital markets - what's next for the real-world implementation of AITech?
- The innovating customer - users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness
- Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the 'unbundled corporation' & the future of work, social responsibility, sustainability, and the new leadership imperatives
- Ethical considerations of deploying Al solutions and why explainable Al is so important
Автор: Ralf T. Kreutzer; Marie Sirrenberg Название: Understanding Artificial Intelligence ISBN: 3030252701 ISBN-13(EAN): 9783030252700 Издательство: Springer Рейтинг: Цена: 7965.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Artificial Intelligence (AI) will change the lives of people and businesses more fundamentally than many people can even imagine today. This book illustrates the importance of AI in an era of digitalization. It introduces the foundations of AI and explains its benefits and challenges for companies and entire industries. In this regard, AI is approached not just as yet another technology, but as a fundamental innovation, which will spread into all areas of the economy and life, and will disrupt business processes and business models in the years to come.
In turn, the book assesses the potential that AI holds, and clarifies the framework that is necessary for pursuing a responsible approach to AI. In a series of best-practice cases, the book subsequently highlights a broad range of sectors and industries, from production to services; from customer service to marketing and sales; and in industries like retail, health care, energy, transportation and many more. In closing, a dedicated chapter outlines a roadmap for a specific corporate AI journey.
No one can ignore intensive work with AI today - neither as a private person, let alone as a top performer in companies. This book offers a thorough, carefully crafted, and easy to understand entry into the field of AI. The central terms used in the AI ??context are given a very good explanation. In addition, a number of cases show what AI can do today and where the journey is heading. An important book that you should not miss!Professor Dr. Harley KrohmerUniversity of Bern
'Inspiring, thought provoking and comprehensive, this book is wittingly designed to be a catalyst for your individual and corporate AI journey.”
Avo Sch?nbohm, Professor at the Berlin School of Economics and Law, Enterprise Game Designer at LUDEO and Business Punk
Автор: Lee Bernard Название: Investment Analytics In The Dawn Of Artificial Intelligence ISBN: 9814725358 ISBN-13(EAN): 9789814725354 Издательство: World Scientific Publishing Рейтинг: Цена: 14256.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A class of highly mathematical algorithms works with three-dimensional (3D) data known as graphs. Our research challenge focuses on applying these algorithms to solve more complex problems with financial data, which tend to be in higher dimensions (easily over 100), based on probability distributions, with time subscripts and jumps. The 3D research analogy is to train a navigation algorithm when the way-finding coordinates and obstacles such as buildings change dynamically and are expressed in higher dimensions with jumps.
Our short title "iaai" symbolizes how investment analytics is not a simplistic reapplication of artificial intelligence (AI) techniques proven in engineering. This book presents best-of-class sophisticated techniques available today to solve high dimensional problems with properties that go deeper than what is required to solve customary problems in engineering today.
Dr Bernard Lee is the Founder and CEO of HedgeSPA, which stands for Sophisticated Predictive Analytics for Hedge Funds and Institutions. Previously, he was a managing director in the Portfolio Management Group of BlackRock in New York City as well as a finance professor who has taught and guest-lectured at a number of top universities globally.
Описание: Why aren`t the most powerful new technologies being used to solve the world`s most important problems: hunger, poverty, conflict, employment, disease? In Link, Dr. Lorien Pratt answers these questions by exploring the solution that is emerging worldwide to take Artificial Intelligence to the next level: Decision Intelligence.
Автор: Hideyasu Sasaki, Dickson K.W. Chiu, Epaminondas Kapetanios, Patrick C.K. Hung, Frederic Andres Название: Intelligent and Knowledge-Based Computing for Business and Organizational Advancements ISBN: 146661577X ISBN-13(EAN): 9781466615779 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 28413.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Examines the emerging computing paradigm of Collective Intelligence (CI). The global contributions contained in this publication will be essential to both researchers and practitioners in the computer and information science communities as these populations move toward a new period of fully technology-integrated business.
Описание: Insights into Advancements in Intelligent Information Technologies: Discoveries offers the latest the field has to offer in research, methodologies, frameworks, and advances in the field. Within the various business enterprises that share resources and compete for a market share, information, and its uses are crucial to growing and furthering their burgeoning needs. This volume has collected case studies and research from around the globe in the most updated collection of research within the field to date.
Описание: Predictive Medicine makes artificial intelligence more accessible for healthcare practitioners without shying away from complex topics and controversial subject matter.
Artificial intelligence, machine learning, natural language processing, robotics, big data and other new technologies are ready to revolutionize the way we look at healthcare. But if we want them to achieve their full potential, we'll need leaders who understand these new tools and who have long-term strategies in place to take advantage of them.
This book will help you to become one of those leaders. Predictive Medicine makes artificial intelligence more accessible for healthcare practitioners without shying away from complex topics and controversial subject matter. It's a call-to-action for a new generation of health leaders and a roadmap to help them usher in a brighter future.
Автор: Archie Addo, Muthu Shanmugam, Srini Centhala Название: Artificial Intelligence Design and Solution for Risk and Security ISBN: 1951527488 ISBN-13(EAN): 9781951527488 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 3635.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Artificial Intelligence Design and Solutions for Risk and Security targets readers to understand, learn, define problems, and architect AI projects.
Starting from current business architectures and business processes to futuristic architectures. Introduction to data analytics and life cycle includes data discovery, data preparation, data processing steps, model building, and operationalization are explained in detail.
The authors examine the AI and ML algorithms in detail, which enables the readers to choose appropriate algorithms during designing solutions. Functional domains and industrial domains are also explained in detail. The takeaways are learning and applying designs and solutions to AI projects with risk and security implementation and knowledge about futuristic AI in five to ten years.
Автор: Tecuci Название: Knowledge Engineering ISBN: 1107122562 ISBN-13(EAN): 9781107122567 Издательство: Cambridge Academ Рейтинг: Цена: 11722.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a significant advancement in knowledge engineering based on learning agent technology. Using the software Disciple-EBR, students, practitioners, and researchers can rapidly develop learning assistants in numerous domains that require evidence-based reasoning, including cyber security, law, forensics, medicine, and education.
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