Coronavirus News, Markets and AI

Coronavirus News, Markets and AI
Author: Pankaj Sharma
Publisher: Taylor & Francis
Total Pages: 336
Release: 2020-12-27
Genre: Computers
ISBN: 1000327442

Coronavirus News, Markets and AI explores the analysis of unstructured data from coronavirus-related news and the underlying sentiment during its real-time impact on the world and on global financial markets, in particular. In an age where information - both real and fake - travels in the blink of an eye and significantly alters market sentiment daily, this book is a blow by blow account of economic impact of the COVID-19 pandemic. The volume: Details how AI driven machines capture, analyse and score relevant on-ground news sentiment to analyse the dynamics of market sentiment, how markets react to good or bad news across ‘short term’ and ‘long term’; Investigates what have been the most prevalent news sentiment during the pandemic, and its linkages to crude oil prices, high profile cases, impact of local news, and even the impact of Trump’s policies; Discusses the impact on what people think and discuss, how the COVID-19 crisis differs from the Global Financial Crisis of 2008, the unprecedented disruptions in supply chains and our daily lives; Showcases how easy accessibility to big data methods, cloud computing, and computational methods and the universal applicability of these tool to any topic can help analyse extract the related news sentiment in allied fields. Accessible, nuanced and insightful, this book will be invaluable for business professionals, bankers, media professionals, traders, investors, and investment consultants. It will also be of great interest to scholars and researchers of economics, commerce, science and technology studies, computer science, media and culture studies, public policy and digital humanities.

Artificial Intelligence for COVID-19

Artificial Intelligence for COVID-19
Author: Diego Oliva
Publisher: Springer Nature
Total Pages: 594
Release: 2021-07-19
Genre: Technology & Engineering
ISBN: 3030697444

This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
Author: Adam Bohr
Publisher: Academic Press
Total Pages: 385
Release: 2020-06-21
Genre: Computers
ISBN: 0128184396

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

Advances in Machine Learning and Computational Intelligence

Advances in Machine Learning and Computational Intelligence
Author: Srikanta Patnaik
Publisher: Springer Nature
Total Pages: 853
Release: 2020-07-25
Genre: Technology & Engineering
ISBN: 9811552436

This book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence (ICMLCI-2019), jointly organized by Kunming University of Science and Technology and the Interscience Research Network, Bhubaneswar, India, from April 6 to 7, 2019. Addressing virtually all aspects of intelligent systems, soft computing and machine learning, the topics covered include: prediction; data mining; information retrieval; game playing; robotics; learning methods; pattern visualization; automated knowledge acquisition; fuzzy, stochastic and probabilistic computing; neural computing; big data; social networks and applications of soft computing in various areas.

Artificial Intelligence

Artificial Intelligence
Author: Harvard Business Review
Publisher: HBR Insights
Total Pages: 160
Release: 2019
Genre: Business & Economics
ISBN: 9781633697898

Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.

Post Corona

Post Corona
Author: Scott Galloway
Publisher: Penguin
Total Pages: 258
Release: 2020-11-24
Genre: Business & Economics
ISBN: 0593332210

New York Times bestseller! "Few are better positioned to illuminate the vagaries of this transformation than Galloway, a tech entrepreneur, author and professor at New York University’s Stern School. In brisk prose and catchy illustrations, he vividly demonstrates how the largest technology companies turned the crisis of the pandemic into the market-share-grabbing opportunity of a lifetime." --The New York Times "As good an analysis as you could wish to read." --The Financial Times From bestselling author and NYU Business School professor Scott Galloway comes a keenly insightful, urgent analysis of who stands to win and who's at risk to lose in a post-pandemic world The COVID-19 outbreak has turned bedrooms into offices, pitted young against old, and widened the gaps between rich and poor, red and blue, the mask wearers and the mask haters. Some businesses--like home exercise company Peloton, video conference software maker Zoom, and Amazon--woke up to find themselves crushed under an avalanche of consumer demand. Others--like the restaurant, travel, hospitality, and live entertainment industries--scrambled to escape obliteration. But as New York Times bestselling author Scott Galloway argues, the pandemic has not been a change agent so much as an accelerant of trends already well underway. In Post Corona, he outlines the contours of the crisis and the opportunities that lie ahead. Some businesses, like the powerful tech monopolies, will thrive as a result of the disruption. Other industries, like higher education, will struggle to maintain a value proposition that no longer makes sense when we can't stand shoulder to shoulder. And the pandemic has accelerated deeper trends in government and society, exposing a widening gap between our vision of America as a land of opportunity, and the troubling realities of our declining wellbeing. Combining his signature humor and brash style with sharp business insights and the occasional dose of righteous anger, Galloway offers both warning and hope in equal measure. As he writes, "Our commonwealth didn't just happen, it was shaped. We chose this path--no trend is permanent and can't be made worse or corrected."

Introduction to Econophysics

Introduction to Econophysics
Author: Rosario N. Mantegna
Publisher: Cambridge University Press
Total Pages: 164
Release: 1999-11-13
Genre: Business & Economics
ISBN: 1139431226

This book concerns the use of concepts from statistical physics in the description of financial systems. The authors illustrate the scaling concepts used in probability theory, critical phenomena, and fully developed turbulent fluids. These concepts are then applied to financial time series. The authors also present a stochastic model that displays several of the statistical properties observed in empirical data. Statistical physics concepts such as stochastic dynamics, short- and long-range correlations, self-similarity and scaling permit an understanding of the global behaviour of economic systems without first having to work out a detailed microscopic description of the system. Physicists will find the application of statistical physics concepts to economic systems interesting. Economists and workers in the financial world will find useful the presentation of empirical analysis methods and well-formulated theoretical tools that might help describe systems composed of a huge number of interacting subsystems.

Impact of AI and Tech-Driven Solutions in Hospitality and Tourism

Impact of AI and Tech-Driven Solutions in Hospitality and Tourism
Author: Talukder, Mohammad Badruddoza
Publisher: IGI Global
Total Pages: 603
Release: 2024-08-14
Genre: Business & Economics
ISBN:

With today’s rapidly evolving digital landscape, businesses in the hospitality and tourism industries face the challenge of harnessing the power of emerging technologies to stay competitive and meet the evolving needs of travelers. From personalized guest experiences to efficient operations and sustainable practices, there is a growing demand for innovative solutions that leverage artificial intelligence (AI) and cutting-edge technology. However, navigating this technological landscape can be daunting, with businesses often grappling with questions of implementation, integration, and ethical considerations. Impact of AI and Tech-Driven Solutions in Hospitality and Tourism emerges to provide insight and guidance in addressing these challenges. By delving into the transformative potential of AI and technology, this book offers a comprehensive exploration of how these innovations are reshaping the hospitality and tourism sectors. Through in-depth analyses, case studies, and practical examples, readers gain valuable insights into the myriad ways in which AI-driven solutions can enhance guest experiences, streamline operations, and drive sustainable practices within the industry.

Rage

Rage
Author: Bob Woodward
Publisher: Simon and Schuster
Total Pages: 480
Release: 2020-09-15
Genre: Biography & Autobiography
ISBN: 1982131764

Rage is an unprecedented and intimate tour de force of new reporting on the Trump presidency facing a global pandemic, economic disaster and racial unrest. Woodward, the #1 international bestselling author of Fear: Trump in the White House, has uncovered the precise moment the president was warned that the Covid-19 epidemic would be the biggest national security threat to his presidency. In dramatic detail, Woodward takes readers into the Oval Office as Trump’s head pops up when he is told in January 2020 that the pandemic could reach the scale of the 1918 Spanish Flu that killed 675,000 Americans. In 17 on-the-record interviews with Woodward over seven volatile months—an utterly vivid window into Trump’s mind—the president provides a self-portrait that is part denial and part combative interchange mixed with surprising moments of doubt as he glimpses the perils in the presidency and what he calls the “dynamite behind every door.” At key decision points, Rage shows how Trump’s responses to the crises of 2020 were rooted in the instincts, habits and style he developed during his first three years as president. Revisiting the earliest days of the Trump presidency, Rage reveals how Secretary of Defense James Mattis, Secretary of State Rex Tillerson and Director of National Intelligence Dan Coats struggled to keep the country safe as the president dismantled any semblance of collegial national security decision making. Rage draws from hundreds of hours of interviews with firsthand witnesses as well as participants’ notes, emails, diaries, calendars and confidential documents. Woodward obtained 25 never-seen personal letters exchanged between Trump and North Korean leader Kim Jong Un, who describes the bond between the two leaders as out of a “fantasy film.” Trump insists to Woodward he will triumph over Covid-19 and the economic calamity. “Don’t worry about it, Bob. Okay?” Trump told the author in July. “Don’t worry about it. We’ll get to do another book. You’ll find I was right.”

Competing in the Age of AI

Competing in the Age of AI
Author: Marco Iansiti
Publisher: Harvard Business Press
Total Pages: 175
Release: 2020-01-07
Genre: Business & Economics
ISBN: 1633697630

"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.