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Big Data
Author: Viktor Mayer-Schönberger, Viktor; Cukier Mayer-Schönberger
Publisher: FinanzBuch Verlag
ISBN: 3864144604
Pages: 288
Year: 2013-10-08
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Ob Kaufverhalten, Grippewellen oder welche Farbe am ehesten verrät, ob ein Gebrauchtwagen in einem guten Zustand ist – noch nie gab es eine solche Menge an Daten und noch nie bot sich die Chance, durch Recherche und Kombination in der Daten¬flut blitzschnell Zusammenhänge zu entschlüsseln. Big Data bedeutet nichts weniger als eine Revolution für Gesellschaft, Wirtschaft und Politik. Es wird die Weise, wie wir über Gesundheit, Erziehung, Innovation und vieles mehr denken, völlig umkrempeln. Und Vorhersagen möglich machen, die bisher undenkbar waren. Die Experten Viktor Mayer-Schönberger und Kenneth Cukier beschreiben in ihrem Buch, was Big Data ist, welche Möglichkeiten sich eröffnen, vor welchen Umwälzungen wir alle stehen – und verschweigen auch die dunkle Seite wie das Ausspähen von persönlichen Daten und den drohenden Verlust der Privatsphäre nicht.
Big Data
Author: Viktor Mayer-Schönberger, Kenneth Cukier
Publisher: Houghton Mifflin Harcourt
ISBN: 0544002938
Pages: 240
Year: 2013-03-05
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A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large. Which paint color is most likely to tell you that a used car is in good shape? How can officials identify the most dangerous New York City manholes before they explode? And how did Google searches predict the spread of the H1N1 flu outbreak? The key to answering these questions, and many more, is big data. “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior. In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.
Learning with Big Data
Author: Viktor Mayer-Schönberger, Kenneth Cukier
Publisher: Houghton Mifflin Harcourt
ISBN: 0544355504
Pages: 60
Year: 2014-03-04
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Homework assignments that learn from students. Courses tailored to fit individual pupils. Textbooks that talk back. This is tomorrow’s education landscape, thanks to the power of big data. These advances go beyond the much-discussed rise of online courses. As the New York Times-bestselling authors of Big Data explain, the truly fascinating changes are actually occurring in how we measure students’ progress and how we can use that data to improve education for everyone, in real time, both on- and offline. Learning with Big Data offers an eye-opening, insight-packed tour through these new trends, for educators, administrators, and readers interested in the latest developments in business and technology.
Reinventing Capitalism in the Age of Big Data
Author: Viktor Mayer-Schönberger, Thomas Ramge
Publisher: Basic Books
ISBN: 0465093698
Pages: 288
Year: 2018-02-27
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From the New York Times bestselling author of Big Data, a prediction for how data will revolutionize the market economy and make cash, banks, and big companies obsolete In modern history, the story of capitalism has been a story of firms and financiers. That's all going to change thanks to the Big Data revolution. As Viktor Mayer-Schönberger, bestselling author of Big Data, and Thomas Ramge, who writes for The Economist, show, data is replacing money as the driver of market behavior. Big finance and big companies will be replaced by small groups and individual actors who make markets instead of making things: think Uber instead of Ford, or Airbnb instead of Hyatt. This is the dawn of the era of data capitalism. Will it be an age of prosperity or of calamity? This book provides the indispensable roadmap for securing a better future.
Big Data at Work
Author: Thomas Davenport
Publisher: Harvard Business Review Press
ISBN: 1422168166
Pages: 240
Year: 2014-02-25
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Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. This book will help you understand: • Why big data is important to you and your organization • What technology you need to manage it • How big data could change your job, your company, and your industry • How to hire, rent, or develop the kinds of people who make big data work • The key success factors in implementing any big data project • How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.
Data Science and Big Data Analytics
Author: EMC Education Services
Publisher: John Wiley & Sons
ISBN: 1118876059
Pages: 432
Year: 2015-01-05
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Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Corresponding data sets are available at Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!
An Introduction to Bibliometrics
Author: Rafael Ball
Publisher: Chandos Publishing
ISBN: 0081021518
Pages: 90
Year: 2017-09-18
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An Introduction to Bibliometrics: New Development and Trends provides a comprehensible, readable and easy to read introduction to bibliometrics. Importantly, the book surveys the latest developments of bibliometrics (such as altmetrics, etc.) and how the field is likely to change over the next decade. In the literature, bibliometrics is generally discussed from one of two perspectives: (1) Purely mathematical/statistical or (2) Its sociological implications. Both approaches are very far from how most users want to apply bibliometrics. This book fills that need by providing tactics on how bibliometrics can be applied to their sphere of scientific activity. Provides readers with an understanding of bibliometric indicators, including their background and significance, classification in quantitative performance, and an evaluation of science and research Includes an overview of the most important indicators, their areas of application, and where and when they should and should not be used Discusses future trends in the quantitative performance evaluation of scientific research
Big Data Challenges
Author: Anno Bunnik, Anthony Cawley, Michael Mulqueen, Andrej Zwitter
Publisher: Springer
ISBN: 1349948853
Pages: 140
Year: 2016-05-13
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This book brings together an impressive range of academic and intelligence professional perspectives to interrogate the social, ethical and security upheavals in a world increasingly driven by data. Written in a clear and accessible style, it offers fresh insights to the deep reaching implications of Big Data for communication, privacy and organisational decision-making. It seeks to demystify developments around Big Data before evaluating their current and likely future implications for areas as diverse as corporate innovation, law enforcement, data science, journalism, and food security. The contributors call for a rethinking of the legal, ethical and philosophical frameworks that inform the responsibilities and behaviours of state, corporate, institutional and individual actors in a more networked, data-centric society. In doing so, the book addresses the real world risks, opportunities and potentialities of Big Data.
Big Data For Dummies
Author: Judith Hurwitz, Alan Nugent, Fern Halper, Marcia Kaufman
Publisher: John Wiley & Sons
ISBN: 1118644174
Pages: 336
Year: 2013-04-02
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Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.
Big Data in Medical Science and Healthcare Management
Author: Peter Langkafel
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110445743
Pages: 290
Year: 2015-11-27
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Big Data in medical science – what exactly is that? What are the potentials for healthcare management? Where is Big Data at the moment? Which risk factors need to be kept in mind? What is hype and what is real potential? This book provides an impression of the new possibilities of networked data analysis and "Big Data" – for and within medical science and healthcare management. Big Data is about the collection, storage, search, distribution, statistical analysis and visualization of large amounts of data. This is especially relevant in healthcare management, as the amount of digital information is growing exponentially. An amount of data corresponding to 12 million novels emerges during the time of a single hospital stay. These are dimensions that cannot be dealt with without IT technologies. What can we do with the data that are available today? What will be possible in the next few years? Do we want everything that is possible? Who protects the data from wrong usage? More importantly, who protects the data from NOT being used? Big Data is the "resource of the 21st century" and might change the world of medical science more than we understand, realize and want at the moment. The core competence of Big Data will be the complete and correct collection, evaluation and interpretation of data. This also makes it possible to estimate the frame conditions and possibilities of the automation of daily (medical) routine. Can Big Data in medical science help to better understand fundamental problems of health and illness, and draw consequences accordingly? Big Data also means the overcoming of sector borders in healthcare management. The specialty of Big Data analysis will be the new quality of the outcomes of the combination of data that were not related before. That is why the editor of the book gives a voice to 30 experts, working in a variety of fields, such as in hospitals, in health insurance or as medical practitioners. The authors show potentials, risks, concrete practical examples, future scenarios, and come up with possible answers for the field of information technology and data privacy.
Life 3.0
Author: Max Tegmark
Publisher: Vintage
ISBN: 1101946601
Pages: 384
Year: 2017-08-29
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New York Times Best Seller How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology—and there’s nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who’s helped mainstream research on how to keep AI beneficial. How can we grow our prosperity through automation without leaving people lacking income or purpose? What career advice should we give today’s kids? How can we make future AI systems more robust, so that they do what we want without crashing, malfunctioning or getting hacked? Should we fear an arms race in lethal autonomous weapons? Will machines eventually outsmart us at all tasks, replacing humans on the job market and perhaps altogether? Will AI help life flourish like never before or give us more power than we can handle? What sort of future do you want? This book empowers you to join what may be the most important conversation of our time. It doesn’t shy away from the full range of viewpoints or from the most controversial issues—from superintelligence to meaning, consciousness and the ultimate physical limits on life in the cosmos.
Big Data - Daten strategisch nutzen!
Author: Ralf-Christian Härting
Publisher: BoD – Books on Demand
ISBN: 3732285847
Pages: 60
Year: 2014-04-30
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Seit dem Jahr 2004 finden im Zwei-Jahres-Rhythmus im Studiengang Betriebswirtschaft für kleine und mittlere Unternehmen der Fakultät für Wirtschaftswissenschaft an der Hochschule Aalen die sogenannten Transfertage statt. Dabei handelt es sich um eine eintägige Veranstaltung, die sich mit für mittelständische Unternehmen relevanten Themen beschäftigt. Die Leitung der Transfertage liegt bei Prof. Dr. Ralf-Christian Härting, der im Studiengang für den Bereich der Wirtschaftsinformatik zuständig ist. Die vergangenen beiden Transfertage behandelten die Themen „Überlebensmanagement in Familienunternehmen“ (2012) sowie „Marketing- und Vetriebssteuerung“ (2010). In diesem Tagungsband werden Inhalte und Ergebnisse aus den Beiträgen der Tagung vom 15.05.2014 zum Thema Big Data sowie weiterführende Informationen zur Verfügung gestellt.
Mailbox voll, Akku leer. Müssen wir jetzt reden?
Author: Norbert Peter
Publisher: Braumüller Verlag
ISBN: 3991001152
Pages: 210
Year: 2014-03-04
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Facebook beim Essen. Simsen statt Plaudern. Googeln statt Nachfragen. Kommunikation reicht heute tief in alle Lebensbereiche hinein. Manche von uns macht sie angeblich sogar süchtig. Aber das passiert natürlich nur den anderen. Wiegen die Vorteile der neuen Kommunikationsmöglichkeiten deren Nachteile noch auf? Sie erleichtern uns viele Abläufe, aber um den Preis der Entmündigung. Nicht nur, dass wir an Konzentrationsfähigkeit verlieren, weil die Vielzahl an Abläufen uns überfordert, die Breite an Themen nur durch den Verlust an Tiefe zu bewältigen ist - wir delegieren auch erlernte Fähigkeiten an technische Geräte. Und für die dadurch frei werdenden Kapazitäten gibt es zum Glück YouTube ... Steckt die Menschheit nur temporär in der lustvollen Dauer-Kommunikationsfalle fest oder haben wir es mit einer beunruhigenden Entwicklung zu tun? Kabarettist und Kommunikationswissenschaftler Norbert Peter zeigt in seinem neuen Buch die Komplexität und die Absurdität der modernen, multimedialen Gesellschaft auf - wie gewohnt aus satirischem Blickwinkel. Das Lachen bleibt uns dabei aber mehr als einmal im Halse stecken.
Exploring the Boundaries of Big Data
Author: Bart van der Sloot, Dennis Broeders, Erik Schrijvers
Publisher: WRR Verkenningen
ISBN: 9462983585
Pages: 286
Year: 2016
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Though the exact nature and delineation of Big Data is still unclear, it seems likely that Big Data will have an enormous impact on our daily lives. 'Exploring the Boundaries of Big Data' serves as preparatory work for The Netherlands Scientific Council for Government Policy's advice to the Dutch government, which has asked the Council to address questions regarding Big Data, security and privacy. It is divided into five parts, each part engaging with a different perspective on Big Data: the technical, empirical, legal, regulatory and international perspective.
Wissen nimmt Gestalt an
Author: Benedikt Lutz
Publisher: Edition-Donau-Univ. Krems
ISBN: 3902505559
Pages: 235
Year: 2014-03-21
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Wissen nimmt Gestalt an - so lautete das Motto der Kremser Wissensmanagement- Tage 2013 und auch der Titel des Keynote-Vortrags von Martin Eppler. Im Wissensmanagement werden Gestaltungsaspekte immer wichtiger, wie zum Beispiel die mediale Aufbereitung von Informationen in PowerPoint-Präsentationen, Intranet-Websites oder für Smartphones. Generell geht es dabei um das Schaffen geeigneter Randbedingungen und Räume, um Wissen in Unternehmen wirksam zu machen; in diesem Zusammenhang wird der Begriff der enabling spaces immer wichtiger. Im Zentrum der Konferenz stand angewandtes Wissensmanagement, wobei der Dialog zwischen Wissenschaft und Praxis nicht zu kurz kam. Die verbindende Klammer der Beiträge dieses Bandes ist die Gestaltung gelingender Wissenskommunikation durch geeignete Mittel, wie Story Telling, Debriefing- Prozesse, Communities of Practice, Einführung von Social Software und Projektkommunikation im internationalen und interkulturellen Umfeld. Die 2. Wissensmanagement-Tage Krems fanden vom 23. bis 24. April 2013 an der Donau-Universität Krems in Kooperation mit dem Magazin wissensmanagement statt.

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