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Buy now to get the main key ideas from Michael D. Smith & Rahul Telang's Streaming, Sharing, Stealing In Streaming Sharing Stealing (2016), Michael Smith and Rahul Telang describe how the film, television, music, and book industries have been revolutionized, especially by companies such as Apple and Amazon. In light of the unparalleled technological disruption that the entertainment sector is witnessing, companies must swiftly but innovatively adjust in order to survive and prosper. Smith and Telang, who are experts in the field of entertainment analytics, offer insights into how this can be achieved.
So much to read, so little time? This brief overview of Streaming, Sharing, Stealing tells you what you need to know—before or after you read Michael D. Smith’s and Rahul Telang’s book. Crafted and edited with care, Worth Books set the standard for quality and give you the tools you need to be a well-informed reader. This short summary and analysis of Michael D. Smith and Rahul Telang’s Streaming, Sharing, Stealing includes: Historical context Chapter-by-chapter summaries Character profiles Important quotes Fascinating trivia Glossary of terms Supporting material to enhance your understanding of the original work About Streaming, Sharing, Stealing by Michael D. Smith and Rahul Telang: There is a new world order in the entertainment industry. Digital technology has contributed to an explosion of content in the entertainment business as Netflix, Amazon, and Apple upend traditional entertainment, changing the way in which television, film, music, and books are made and consumed. In Streaming, Sharing, Stealing: Big Data and the Future of Entertainment, authors Smith and Telang document this massive change and demonstrate conclusively that making data-driven decisions and understanding customer behavior are the keys to the new marketplace. The summary and analysis in this ebook are intended to complement your reading experience and bring you closer to a great work of nonfiction.
How big data is transforming the creative industries, and how those industries can use lessons from Netflix, Amazon, and Apple to fight back. “[The authors explain] gently yet firmly exactly how the internet threatens established ways and what can and cannot be done about it. Their book should be required for anyone who wishes to believe that nothing much has changed.” —The Wall Street Journal “Packed with examples, from the nimble-footed who reacted quickly to adapt their businesses, to laggards who lost empires.” —Financial Times Traditional network television programming has always followed the same script: executives approve a pilot, order a trial number of episodes, and broadcast them, expecting viewers to watch a given show on their television sets at the same time every week. But then came Netflix's House of Cards. Netflix gauged the show's potential from data it had gathered about subscribers' preferences, ordered two seasons without seeing a pilot, and uploaded the first thirteen episodes all at once for viewers to watch whenever they wanted on the devices of their choice. In this book, Michael Smith and Rahul Telang, experts on entertainment analytics, show how the success of House of Cards upended the film and TV industries—and how companies like Amazon and Apple are changing the rules in other entertainment industries, notably publishing and music. We're living through a period of unprecedented technological disruption in the entertainment industries. Just about everything is affected: pricing, production, distribution, piracy. Smith and Telang discuss niche products and the long tail, product differentiation, price discrimination, and incentives for users not to steal content. To survive and succeed, businesses have to adapt rapidly and creatively. Smith and Telang explain how. How can companies discover who their customers are, what they want, and how much they are willing to pay for it? Data. The entertainment industries, must learn to play a little “moneyball.” The bottom line: follow the data.
So much to read, so little time? This brief overview of Contagious tells you what you need to know—before or after you read Jonah Berger’s book. Crafted and edited with care, Worth Books set the standard for quality and give you the tools you need to be a well-informed reader. This short summary and analysis of Contagious includes: Historical context Chapter-by-chapter overviews Detailed timeline of key events Important quotes Fascinating trivia Glossary of terms Supporting material to enhance your understanding of the original work About Contagious by Jonah Berger: Contagious: Why Things Catch On examines why certain media goes viral—videos, articles, memes—and others never get shared at all. By looking at popular culture, Wharton professor Jonah Berger analyzes what makes an idea take off. Based on his own research and the insights gleaned from 15 years of studying marketing, Berger’s New York Times–bestselling book teaches readers why popular content is popular, and how they can make their own ideas and products truly contagious. The summary and analysis in this ebook are intended to complement your reading experience and bring you closer to a great work of nonfiction.
So much to read, so little time? This brief overview of The Industries of the Future tells you what you need to know—before or after you read Alec Ross’s book. Crafted and edited with care, Worth Books set the standard for quality and give you the tools you need to be a well-informed reader. This short summary and analysis of The Industries of the Future includes: Historical context Chapter-by-chapter overviews Important quotes Fascinating trivia Supporting material to enhance your understanding of the original work About The Industries of the Future by Alec Ross: Alec Ross, a leading expert in innovation and technology, explores what he predicts to be the next twenty years of advancements. Discussing robotics, genomic sequencing, cryptocurrency, cybersecurity, big data, and domain expertise, Ross dives into the most exciting possibilities that will transform our lives—especially our jobs. With all of the technological achievements to come, he reflects on what these changes will mean to people—who will benefit and who will be left behind. The summary and analysis in this ebook are intended to complement your reading experience and bring you closer to a great work of nonfiction.
So much to read, so little time? This brief overview of The Upstarts tells you what you need to know—before or after you read Brad Stone’s book. Crafted and edited with care, Worth Books set the standard for quality and give you the tools you need to be a well-informed reader. This short summary and analysis of The Upstarts: How Uber, Airbnb, and the Killer Companies of the New Silicon Valley Are Changing the World includes: Chapter-by-chapter overviews Character profiles Detailed timeline of events Important quotes Fascinating trivia Glossary of terms Supporting material to enhance your understanding of the original work About The Upstarts by Brad Stone: Brad Stone’s The Upstarts: How Uber, Airbnb, and the Killer Companies of the New Silicon Valley Are Changing the World is a detailed account of the founding of Uber and Airbnb, as well as each company’s climb from small startup to transportation and hospitality powerhouse. The Upstarts provides insight into the early lives of entrepreneurs Travis Kalanick and Brian Chesky, including their forays into new business ventures, some successful, most of them not. Stone points out the amazing parallels between the two tech companies as they fight for startup capital, wrestle to find the right framework for their products and organizations, and bring in the talent and technology needed to support those offerings. The summary and analysis in this ebook are intended to complement your reading experience and bring you closer to a great work of nonfiction.
Why our current system of higher education is financially and morally unsustainable and how to address the crisis with the creative implementation of digital technologies. For too long, our system of higher education has been defined by scarcity: scarcity in enrollment, scarcity in instruction, and scarcity in credentials. In addition to failing students professionally, this system has exacerbated social injustice and socioeconomic stratification across the globe. In The Abundant University, Michael D. Smith argues that the only way to create a financially and morally sustainable higher education system is by embracing digital technologies for enrolling, instructing, and credentialing students—the same technologies that we have seen create abundance in access to resources in industry after industry. The Abundant University explains how we got our current system, why it’s such an expensive, inefficient mess, and how a system based on exclusivity cannot foster inclusivity. Smith challenges the resistance to digital technologies that we have already seen among numerous institutions, citing the examples of faculty resistance toward digital learning platforms. While acknowledging the understandable self-preservation instinct of our current system of residential education, Smith makes a case for how technology can engender greater educational opportunity and create changes that will benefit students, employers, and society as a whole.
Solve all big data problems by learning how to create efficient data models Key FeaturesCreate effective models that get the most out of big dataApply your knowledge to datasets from Twitter and weather data to learn big dataTackle different data modeling challenges with expert techniques presented in this bookBook Description Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements. To start with, you’ll get a quick introduction to big data and understand the different data modeling and data management platforms for big data. Then you’ll work with structured and semi-structured data with the help of real-life examples. Once you’ve got to grips with the basics, you’ll use the SQL Developer Data Modeler to create your own data models containing different file types such as CSV, XML, and JSON. You’ll also learn to create graph data models and explore data modeling with streaming data using real-world datasets. By the end of this book, you’ll be able to design and develop efficient data models for varying data sizes easily and efficiently. What you will learnGet insights into big data and discover various data modelsExplore conceptual, logical, and big data modelsUnderstand how to model data containing different file typesRun through data modeling with examples of Twitter, Bitcoin, IMDB and weather data modelingCreate data models such as Graph Data and Vector SpaceModel structured and unstructured data using Python and RWho this book is for This book is great for programmers, geologists, biologists, and every professional who deals with spatial data. If you want to learn how to handle GIS, GPS, and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful.
An undisputed classic, the Fourth Edition of this bestselling media studies text offers an unparalleled analysis of the cultural industries. Bringing together a huge range of research, theory and key concepts, David Hesmondhalgh provides an accessible yet critical exploration of cultural production and consumption in the global media landscape. This new edition: Analyses the influence of IT and tech companies like Google, Apple, Amazon and Facebook on the cultural industries. Discusses the impact of digital technologies on industries such as music, TV, newspapers, books and digital games. Explores the effects of digitalisation on culture, discussing critical issues like participation, power, commercialism, surveillance, and labour. Examines the changing conceptions of audiences, and the increasing influence of market research, audience tracking and advertising. As one of the most read, most studied and most cited books in the field, this Fourth Edition is an essential resource for students and researchers of media and communication studies, the cultural and creative industries, cultural studies and the sociology of the media.
Alan Krueger, a former chairman of the president's Council of Economic Advisers, uses the music industry, from superstar artists to music executives, from managers to promoters, as a way in to explain key principles of economics, and the forces shaping our economic lives. The music industry is a leading indicator of today's economy; it is among the first to be disrupted by the latest wave of technology, and examining the ins and outs of how musicians create and sell new songs and plan concert tours offers valuable lessons for what is in store for businesses and employees in other industries that are struggling to adapt. Drawing on interviews with leading band members, music executives, managers, promoters, and using the latest data on revenues, royalties, streaming tour dates, and merchandise sales, Rockonomics takes readers backstage to show how the music industry really works--who makes money and how much, and how the economics of the music industry has undergone a radical transformation during recent decades. Before digitalization and the ability to stream music over the Internet, rock stars made much of their income from record sales. Today, income from selling songs has plummeted, even for superstars like James Taylor and Taylor Swift. The real money nowadays is derived from concert sales. In 2017, for example, Billy Joel earned $27.4 million from his live performances, and less than $2 million from record sales and streaming. Even Paul McCartney, who has written and recorded more number one songs than anyone in music history, today, earns 80 percent of his income from live concerts. Krueger tackles commonly asked questions: How does a song become popular? And how does a new artist break out in today's winner-take-all economy? How can musicians and everyday workers earn a living in the digital economy?