Big Data

Author: Viktor Mayer-Schönberger
Publisher: Houghton Mifflin Harcourt
ISBN: 0544002695
Size: 53.54 MB
Format: PDF
View: 3566
This revelatory exploration of big data, which refers to our newfound ability to crunch vast amounts of information, analyze it instantly and draw profound and surprising conclusions from it, discusses how it will change our lives and what we can do to protect ourselves from its hazards. 75,000 first printing.

Learning With Big Data

Author: Viktor Mayer-Schönberger
Publisher: Houghton Mifflin Harcourt
ISBN: 0544355504
Size: 29.12 MB
Format: PDF, ePub
View: 7067
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.

Summary Big Data

Author: BusinessNews Publishing
Publisher: Primento
ISBN: 2511025078
Size: 63.52 MB
Format: PDF, ePub, Docs
View: 428
The must-read summary of Viktor Mayer-Schonberg and Kenneth Cukier's book: "Big Data: A Revolution that Will Transform How We Live, Work and Think". This complete summary of the ideas from Viktor Mayer-Schonberg and Kenneth Cukier's book "Big Data" explains that the concept of "big data" means using huge quantities of data to make better predictions based on patterns, rather than trying to understand the underlying causes in more detail. In their book, the authors highlight the many ways in which big data will be a source of new economic value and innovation in the future. This summary also demonstrates that this change in the way information is analysed will transform the way everyone lives and interacts in the world. Added-value of this summary: • Save time • Understand key concepts • Expand your knowledge To learn more, read "Big Data" and discover how the way we use data is evolving and what this means for the future.

Reinventing Capitalism In The Age Of Big Data

Author: Viktor Mayer-Schonberger
Publisher: John Murray
ISBN: 9781473656529
Size: 34.69 MB
Format: PDF, ePub, Mobi
View: 4949
Markets have long been acknowledged to be a superior mechanism for managing resources but until the advent of big data, they largely functioned better in theory than in practice. Now, as ideal markets are within reach because of vastly greater access to information, we are on the verge of a major disruption. As data becomes a more valuable asset than cash, the rules for surviving and thriving are changing. Reinventing Capitalism is a provocative look at how data is reinventing markets and, in so doing, is ushering in an era where the firm is no longer predominant. With richer and more comprehensive information about human wants and needs, an economy powered by data offers the possibility of increased abundance, equality, and resilience. The data-driven markets that will thrive in this environment are far better than firms at organizing human endeavors, meaning that finance driven capitalism is being displaced by its more efficient, moresustainable, and more democratic disruptor: data capitalism.

Spatial Planning In The Big Data Revolution

Author: Voghera, Angioletta
Publisher: IGI Global
ISBN: 1522579281
Size: 37.91 MB
Format: PDF, ePub, Mobi
View: 5514
Through interaction with other databases such as social media, geographic information systems have the ability to build and obtain not only statistics defined on the flows of people, things, and information but also on perceptions, impressions, and opinions about specific places, territories, and landscapes. It is thus necessary to systematize, integrate, and coordinate the various sources of data (especially open data) to allow more appropriate and complete analysis, descriptions, and elaborations. Spatial Planning in the Big Data Revolution is a critical scholarly resource that aims to bring together different methodologies that combine the potential of large data analysis with GIS applications in dedicated tools specifically for territorial, social, economic, environmental, transport, energy, real estate, and landscape evaluation. Additionally, the book addresses a number of fundamental objectives including the application of big data analysis in supporting territorial analysis, validating crowdsourcing and crowdmapping techniques, and disseminating information and community involvement. Urban planners, architects, researchers, academicians, professionals, and practitioners in such fields as computer science, data science, and business intelligence will benefit most from the research contained within this publication.

Machine Learning

Author: Jason Bell
Publisher: John Wiley & Sons
ISBN: 1118889061
Size: 23.32 MB
Format: PDF, Kindle
View: 2446

Digital Exhaust

Author: Dale Neef
Publisher: Pearson Education
ISBN: 013383834X
Size: 16.25 MB
Format: PDF, ePub, Docs
View: 1433
Will "Big Data" supercharge the economy, tyrannize us, or both? Data Exhaust is the definitive primer for everyone who wants to understand all the implications of Big Data, digitally driven innovation, and the accelerating Internet Economy. Renowned digital expert Dale Neef clearly explains: What Big Data really is, and what's new and different about it How Big Data works, and what you need to know about Big Data technologies Where the data is coming from: how Big Data integrates sources ranging from social media to machine sensors, smartphones to financial transactions How companies use Big Data analytics to gain a more nuanced, accurate picture of their customers, their own performance, and the newest trends How governments and individual citizens can also benefit from Big Data How to overcome obstacles to success with Big Data – including poor data that can magnify human error A realistic assessment of Big Data threats to employment and personal privacy, now and in the future Neef places the Big Data phenomenon where it belongs: in the context of the broader global shift to the Internet economy, with all that implies. By doing so, he helps businesses plan Big Data strategy more effectively – and helps citizens and policymakers identify sensible policies for preventing its misuse. By conservative estimate, the global Big Data market will soar past $50 billion by 2018. But those direct expenses represent just the "tip of the iceberg" when it comes to Big Data's impact. Big Data is now of acute strategic interest for every organization that aims to succeed – and it is equally important to everyone else. Whoever you are, Data Exhaust tells you exactly what you need to know about Big Data – and what to do about it, too.

Extracting Innovations

Author: Martin J. Clifford
Publisher: CRC Press
ISBN: 1351582631
Size: 65.83 MB
Format: PDF, ePub, Mobi
View: 2108
This book considers the most contemporary innovations propelling the extractive industries forward while also creating new environmental and social challenges. The socio-ecological fabric of innovation in the extractive industries is considered through an integrative approach that brings together engineers, natural scientists, and social scientists—academics and practitioners—giving an empirically grounded and realistic evaluation of the innovations in this sector. It synthesizes a series of questions including: Why have these sectors been historically slow to innovate? What specific strategies can improve innovation and uptake of new technologies? What new forms of technology will shape the sector in the decades ahead? What impact will new technologies have on resource extraction and energy production? How are digital technologies changing the competitive landscape and industry architecture? How will new technologies impact sustainability of the sector and can technologies improve social performance and environmental stewardship? And more!

Applied Insurance Analytics

Author: Patricia L Saporito
Publisher: FT Press
ISBN: 0133760731
Size: 60.76 MB
Format: PDF
View: 2473
Insurers: use analytics to drive far more value from your most important asset -- data! Today, many insurers radically underutilize their data, leaving them vulnerable to traditional and non-traditional competitors alike. Now, drawing on 25 years of industry experience, Patricia Saporito shows how to systematically leverage analytics to improve business performance and customer satisfaction throughout any insurance business. Applied Insurance Analytics demonstrates how to use analytics to systematically improve operations ranging from underwriting and risk management to claims. Even more important: it will help you drive more value everywhere by defining a focused enterprise-wide analytics strategy, and overcoming the challenges that stand in your way. Saporito helps you assess your current analytics maturity, choose the new applications that offer the most value, and master best practices from throughout the industry and beyond. Throughout, she helps you gain more value from data assets, technologies and tools you've already invested in. You'll find new case studies, practical tools, and easy templates for improving the "Analytics IQ" of your entire enterprise. For every insurance industry professional and manager concerned with analytics, including users, IT pros, sales/marketing specialists, and data scientists. This book will also be valuable to students in any MBA or other program focused on insurance or risk management, and to many students in IT or analytics-specific programs.