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The Economics of Artificial Intelligence
  • Language: en
  • Pages: 172

The Economics of Artificial Intelligence

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Prediction Machines, Updated and Expanded
  • Language: en
  • Pages: 347

Prediction Machines, Updated and Expanded

Named one of "The five best books to understand AI" by The Economist The impact AI will have is profound, but the economic framework for understanding it is surprisingly simple. Artificial intelligence seems to do the impossible, magically bringing machines to life—driving cars, trading stocks, and teaching children. But facing the sea change that AI brings can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many either cower in fear or predict an impossibly sunny future. But in Prediction Machines, three eminent economists recast the rise of AI as a dro...

Economic Analysis of the Digital Economy
  • Language: en
  • Pages: 510

Economic Analysis of the Digital Economy

There is a small and growing literature that explores the impact of digitization in a variety of contexts, but its economic consequences, surprisingly, remain poorly understood. This volume aims to set the agenda for research in the economics of digitization, with each chapter identifying a promising area of research. "Economics of Digitization "identifies urgent topics with research already underway that warrant further exploration from economists. In addition to the growing importance of digitization itself, digital technologies have some features that suggest that many well-studied economic models may not apply and, indeed, so many aspects of the digital economy throw normal economics in a loop. "Economics of Digitization" will be one of the first to focus on the economic implications of digitization and to bring together leading scholars in the economics of digitization to explore emerging research.

The Economics of Digitization
  • Language: en

The Economics of Digitization

  • Type: Book
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  • Published: 2013
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  • Publisher: Unknown

The increasing creation, support, use and consumption of digital representation of information touches a wide breadth of economic activities. This digitization has transformed social interactions, facilitated entirely new industries and undermined others and reshaped the ability of people - consumers, job seekers, managers, government officials and citizens - to access and leverage information. This important book includes seminal papers addressing topics such as the causes and consequences of digitization, factors shaping the structure of products and services and creating an enormous range of new applications and how market participants make their choices over strategic organization, market conduct, and public policies. This authoritative collection, with an original introduction by the editors, will be an invaluable source of reference for students, academics and practitioners with an interest in the economics of digitisation and the digital economy.

Handbook of the Economics of Marketing
  • Language: en
  • Pages: 632

Handbook of the Economics of Marketing

Handbook of the Economics of Marketing, Volume One: Marketing and Economics mixes empirical work in industrial organization with quantitative marketing tools, presenting tactics that help researchers tackle problems with a balance of intuition and skepticism. It offers critical perspectives on theoretical work within economics, delivering a comprehensive, critical, up-to-date, and accessible review of the field that has always been missing. This literature summary of research at the intersection of economics and marketing is written by, and for, economists, and the book's authors share a belief in analytical and integrated approaches to marketing, emphasizing data-driven, result-oriented, pragmatic strategies.

Flux
  • Language: en
  • Pages: 345

Flux

The past decade has seen a number of developments that threaten the very fabric of how marketing activities have traditionally been conducted. On one hand, consumers are increasingly socially networked and value-conscious, with heightened expectations of how companies will react to their demands. Along with the challenges, however, come new opportunities: the growth of behavioural economics and the emergence of new data collection techniques, for instance, give marketers unprecedented access to previously hidden aspects of consumer behavior. Clearly, ‘business as usual’ is not an option for marketing managers who want their firms to stay in the game. To help managers adapt to the rapidly...

The Technology Trap
  • Language: en
  • Pages: 488

The Technology Trap

From the Industrial Revolution to the age of artificial intelligence, Carl Benedikt Frey offers a sweeping account of the history of technological progress and how it has radically shifted the distribution of economic and political power among society's members. As the author shows, the Industrial Revolution created unprecedented wealth and prosperity over the long run, but the immediate consequences of mechanization were devastating for large swaths of the population.These trends broadly mirror those in our current age of automation. But, just as the Industrial Revolution eventually brought about extraordinary benefits for society, artificial intelligence systems have the potential to do the same. Benedikt Frey demonstrates that in the midst of another technological revolution, the lessons of the past can help us to more effectively face the present. --From publisher description.

Advances in Computers
  • Language: en
  • Pages: 368

Advances in Computers

This is volume 78 of Advances in Computers. This series, which began publication in 1960, is the oldest continuously published anthology that chronicles the ever- changing information technology field. In these volumes we publish from 5 to 7 chapters, three times per year, that cover the latest changes to the design, development, use and implications of computer technology on society today. - Covers the full breadth of innovations in hardware, software, theory, design, and applications. - Many of the in-depth reviews have become standard references that continue to be of significant, lasting value in this rapidly expanding field.

Practical Time Series Analysis
  • Language: en
  • Pages: 500

Practical Time Series Analysis

Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase. Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challengesin time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly. You’ll get the guidance you need to confidently: Find and wrangle time series data Undertake exploratory time series data analysis Store temporal data Simulate time series data Generate and select features for a time series Measure error Forecast and classify time series with machine or deep learning Evaluate accuracy and performance

The Attention Deficit
  • Language: en
  • Pages: 202

The Attention Deficit

Digital technology has enabled connectivity on an unimagined scale. Human beings are social animals and economic activity promotes this socialization. Market transactions are based on optimism about the future, faith that the world is good and trust that growth is organic or coming from within the system. Individuals therefore invest in the future by having children, by extending credit and accepting risk, and by building connections with others in the sincere expectation of this connectivity being reciprocated. This book explores the unintended consequences of ubiquitous connectivity. The first effect is captured by the sharing model. Technology offers multiple avenues for sharing experienc...