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Author: Sheena Ganchinello
Publisher: The Rosen Publishing Group, Inc
ISBN: 1448895383
Category : Juvenile Nonfiction
Languages : en
Pages : 130
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Book Description
The brainchild of founder Tim Westergren, Pandora Internet Radio is a Web-based service that provides a unique, personalized music stream to each listener. Utilizing a wealth of information supplied to a database by trained music analysts, Pandora responds to listeners' musical tastes, playing songs that share characteristics with their favorite songs or artists. This title tells the fascinating story of how Westergren's innovative company developed out of his personal interests and experiences. Enhanced with sidebars, fact sheets, and a timeline, it details Westergren's journey in bringing Pandora from concept to reality in the digital marketplace.
Author: Sheena Ganchinello
Publisher: The Rosen Publishing Group, Inc
ISBN: 1448895383
Category : Juvenile Nonfiction
Languages : en
Pages : 130
Get Book Here
Book Description
The brainchild of founder Tim Westergren, Pandora Internet Radio is a Web-based service that provides a unique, personalized music stream to each listener. Utilizing a wealth of information supplied to a database by trained music analysts, Pandora responds to listeners' musical tastes, playing songs that share characteristics with their favorite songs or artists. This title tells the fascinating story of how Westergren's innovative company developed out of his personal interests and experiences. Enhanced with sidebars, fact sheets, and a timeline, it details Westergren's journey in bringing Pandora from concept to reality in the digital marketplace.
Author: Chuck Wall
Publisher: Routledge
ISBN: 1351862049
Category : Business & Economics
Languages : en
Pages : 219
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Book Description
Most companies still operate as if they control their customers. But, in today's market, it's really the other way around. Customer CEO confronts the new market reality that customers choose which companies to do business with completely on their own terms. This effectively inverts the power, control, and direction of decision-making; to survive in this new landscape, organizations must quickly adapt. Author Chuck Wall explores the nine powers customer possess - including "the power of me," "the power of the heart," and "the power of rebellion" - and how companies can profit by understanding the power of their customers. Based on more than a decade of firsthand experience and over 100,000 customer interviews, Customer CEO provides every size company with a roadmap of fresh ideas and easy to use tools, while exploring three-dozen companies that embrace the power of their customers. By reading this book, every leader can transform their business into a Customer CEO company.
Author: Noam Wasserman
Publisher: Princeton University Press
ISBN: 0691158304
Category : Business & Economics
Languages : en
Pages : 490
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Book Description
The Founder's Dilemmas examines how early decisions by entrepreneurs can make or break a startup and its team. Drawing on a decade of research, including quantitative data on almost ten thousand founders as well as inside stories of founders like Evan Williams of Twitter and Tim Westergren of Pandora, Noam Wasserman reveals the common pitfalls founders face and how to avoid them.
Author: United States. Congress. Senate. Committee on Commerce, Science, and Transportation
Publisher:
ISBN:
Category : Law
Languages : en
Pages : 84
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Book Description
Author: Star Medzerian Vanguri
Publisher: Routledge
ISBN: 1317436059
Category : Language Arts & Disciplines
Languages : en
Pages : 237
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Book Description
This volume takes up rhetorical approaches to our primarily linguistic understanding of how names work, considering how theories of materiality in rhetoric enrich conceptions of the name as word or symbol and help explain the processes of name bestowal, accumulation, loss, and theft. Contributors theorize the formation, modification, and recontexualization of names as a result of technological and cultural change, and consider the ways in which naming influences identity and affects/grants power.
Author: Jason Loviglio
Publisher: Routledge
ISBN: 1136446311
Category : Performing Arts
Languages : en
Pages : 234
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Book Description
Radio’s New Wave explores the evolution of audio media and sound scholarship in the digital age. Extending and updating the focus of their widely acclaimed 2001 book The Radio Reader, Hilmes and Loviglio gather together innovative work by both established and rising scholars to explore the ways that radio has transformed in the digital environment. Contributors explore what sound looks like on screens, how digital listening moves us, new forms of sonic expression, radio’s convergence with mobile media, and the creative activities of old and new audiences. Even radio’s history has been altered by research made possible by digital and global convergence. Together, these twelve concise chapters chart the dissolution of radio’s boundaries and its expansion to include a wide-ranging universe of sound, visuals, tactile interfaces, and cultural roles, as radio rides the digital wave into its second century.
Author: Music Licensing Consultant Rick Sanjek
Publisher: Oxford University Press
ISBN: 0197782892
Category : Music
Languages : en
Pages : 697
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Book Description
As the long awaited sequel to American Popular Music and Its Business: the First 400 Years, this book offers a detailed and objective history of the evolution and effect of digital technology from 1985 through 2020 on all segments of the popular music business from CDs and stadium tours to TikTok and the effects of the COVID-19 pandemic, with particular emphasis on the relationship between the creators, the consumers, and the business professionals who form the three major axes of the industry. Author Rick Sanjek, a 50-year industry veteran, combines the knowledge acquired during his decades of experience with scholarly research to create a compelling narrative of the events, economics, and innerworkings of the modern music business.
Author: Galit Shmueli
Publisher: John Wiley & Sons
ISBN: 1119828813
Category : Computers
Languages : en
Pages : 740
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Book Description
Machine Learning for Business Analytics Machine learning—also known as data mining or data analytics—is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the seventh edition of Machine Learning for Business Analytics, and the first using RapidMiner software. This edition also includes: A new co-author, Amit Deokar, who brings experience teaching business analytics courses using RapidMiner Integrated use of RapidMiner, an open-source machine learning platform that has become commercially popular in recent years An expanded chapter focused on discussion of deep learning techniques A new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learning A new chapter on responsible data science Updates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their students A full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniques End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.
Author: Steve Gordon
Publisher: Hal Leonard Corporation
ISBN: 149503528X
Category : Music
Languages : en
Pages : 428
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Book Description
(Music Pro Guide Books & DVDs). New technologies have revolutionized the music business. While these technologies have wrecked havoc on traditional business models, they've also provided new opportunities for music business entrepreneurs, as well as new challenges for musicians, recording artists, songwriters, record labels and music publishers. The Future of the Music Business provides a road map for success by explaining legal fundamentals including copyright law's application to the music business, basic forms of agreement such as recording, songwriting and management co ntracts, PLUS the rules pertaining to digital streaming, downloading and Internet radio. This book also shows exactly how much money is generated by each of these models, and details how the money flows to the principal stakeholders: artists, record labels, songwriters and music publishers. Part I is a comprehensive analysis of the laws and business practices applying to today's music business Part II is a guide for producers on how to clear music for almost any kind of project including movies, TV, ad campaigns, stand-alone digital projects AND how much it will cost Part III presents new discussions on the hottest industry controversies including net neutrality; and the financial battles between the new digital music services & copyright owners and artists Part IV discusses how to best use the new technologies to succeed The book contains URLs linking to 2 on-line videos: Fundamentals of Music Business and Law, and Anatomy of a Copyright Infringement Case. Attorneys can use a password to gain 2 CLE credits.
Author: Paul Marx
Publisher: BoD – Books on Demand
ISBN: 3844102159
Category : Business & Economics
Languages : en
Pages : 242
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Book Description
Recommender systems (RS) are intended to assist consumers by making choices from a large scope of items. By recommending items with a high likelihood of suiting a consumer's needs or preferences, they are able to considerably mitigate the information overload problem at the user's side, thus increasing their trust in, satisfaction with, and loyalty to RS providers, such as online shops, internet music catalogs, and online DVD rental services. However, recommendations are prone to errors and often fail to address consumers' context specific needs. Explanations of the underlying reasons behind recommendations can allow users to handle algorithmic errors in recommendations and to better judge their suitability for the users' current decision contexts, thus increasing the choice efficiency and effectiveness. The latter, in turn, increases the users' acceptance of and satisfaction with RS, as well as it positively affects consumers' trust in, loyalty to, and credibility of RS providers. However, in order for these benefits of explanation facilities to surface, they should explain the recommendations in such terms that the consumers themselves use when evaluating their choices. The latter sets restrictions upon recommendation algorithms constraining them with respect to how recommendations should be produced and what information they should rely on. This interaction between RS and explanation facilities, however, was not covered by recent research on RS. Therefore, the aim of the current thesis is to narrow this gap and to develop a recommendation technique that accounts for the concurrent objectives of RS, i. e., a method which is capable of providing both accurately predicted recommendations and actionable explanations of the reasons behind them, so that the recommendation process is aligned with the user preference structures.
