The Human Face of Big Data

The Human Face of Big Data PDF

Author: Rick Smolan

Publisher:

Published: 2012

Total Pages: 0

ISBN-13: 9781454908272

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The authors invited more than 100 journalists worldwide to use photographs, charts and essays to explore the world of big data and its growing influence on our lives and society.

The Rat with the Human Face

The Rat with the Human Face PDF

Author: Tom Angleberger

Publisher: ABRAMS

Published: 2015-04-21

Total Pages: 162

ISBN-13: 1613127626

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Lyle Hertzog and his friends Marilla and Dave are the Qwikpick Adventure Society, three kids who seek out adventure in their seemingly quiet hometown of Crickenburg. On the hunt for their next big adventure—something to top the Fountain of Poop, if that’s even possible—the kids overhear a construction worker telling his buddies about a rat with a human face he saw in the basement of an old research facility. The decision is unanimous: the next adventure for the Qwikpick Society is on! But when their trip to find the rat doesn’t go quite as expected, the trio gets in big trouble. Will the second adventure for the Qwikpick Society also be their last?

Big Data

Big Data PDF

Author: Viktor Mayer-Schönberger

Publisher: Houghton Mifflin Harcourt

Published: 2013

Total Pages: 257

ISBN-13: 0544002695

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A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Privacy in the Age of Big Data

Privacy in the Age of Big Data PDF

Author: Theresa Payton

Publisher: Rowman & Littlefield

Published: 2014-01-16

Total Pages: 277

ISBN-13: 1442225467

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Digital devices have made our busy lives a little easier and they do great things for us, too – we get just-in-time coupons, directions, and connection with loved ones while stuck on an airplane runway. Yet, these devices, though we love them, can invade our privacy in ways we are not even aware of. The digital devices send and collect data about us whenever we use them, but that data is not always safeguarded the way we assume it should be to protect our privacy. Privacy is complex and personal. Many of us do not know the full extent to which data is collected, stored, aggregated, and used. As recent revelations indicate, we are subject to a level of data collection and surveillance never before imaginable. While some of these methods may, in fact, protect us and provide us with information and services we deem to be helpful and desired, others can turn out to be insidious and over-arching. Privacy in the Age of Big Data highlights the many positive outcomes of digital surveillance and data collection while also outlining those forms of data collection to which we do not always consent, and of which we are likely unaware, as well as the dangers inherent in such surveillance and tracking. Payton and Claypoole skillfully introduce readers to the many ways we are “watched” and how to change behaviors and activities to recapture and regain more of our privacy. The authors suggest remedies from tools, to behavior changes, to speaking out to politicians to request their privacy back. Anyone who uses digital devices for any reason will want to read this book for its clear and no-nonsense approach to the world of big data and what it means for all of us.

Big Data in Organizations and the Role of Human Resource Management

Big Data in Organizations and the Role of Human Resource Management PDF

Author: Tobias M. Scholz

Publisher: Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften

Published: 2017

Total Pages: 237

ISBN-13: 9783631718902

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Big data are changing the way we work. This book conveys a theoretical understanding of big data and the related interactions on a socio-technological level as well as on the organizational level. Big data challenge the human resource department to take a new role. An organization's new competitive advantage is its employees augmented by big data.

Hands-On Big Data Modeling

Hands-On Big Data Modeling PDF

Author: James Lee

Publisher: Packt Publishing Ltd

Published: 2018-11-30

Total Pages: 293

ISBN-13: 1788626087

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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.

From Big Data to Smart Data

From Big Data to Smart Data PDF

Author: Fernando Iafrate

Publisher: John Wiley & Sons

Published: 2015-03-30

Total Pages: 88

ISBN-13: 1848217552

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A pragmatic approach to Big Data by taking the reader on a journey between Big Data (what it is) and the Smart Data (what it is for). Today’s decision making can be reached via information (related to the data), knowledge (related to people and processes), and timing (the capacity to decide, act and react at the right time). The huge increase in volume of data traffic, and its format (unstructured data such as blogs, logs, and video) generated by the “digitalization” of our world modifies radically our relationship to the space (in motion) and time, dimension and by capillarity, the enterprise vision of performance monitoring and optimization.

Big Data in Practice

Big Data in Practice PDF

Author: Bernard Marr

Publisher: John Wiley & Sons

Published: 2016-03-22

Total Pages: 320

ISBN-13: 1119231396

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The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional reading materials at the end of each chapter

Decision Theory with a Human Face

Decision Theory with a Human Face PDF

Author: Richard Bradley

Publisher: Cambridge University Press

Published: 2017-10-26

Total Pages: 351

ISBN-13: 1107003210

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Explores how decision-makers can manage uncertainty that varies in both kind and severity by extending and supplementing Bayesian decision theory.

Radically Human

Radically Human PDF

Author: Paul Daugherty

Publisher: Harvard Business Press

Published: 2022-04-26

Total Pages: 152

ISBN-13: 1647821096

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Technology advances are making tech more . . . human. This changes everything you thought you knew about innovation and strategy. In their groundbreaking book, Human + Machine, Accenture technology leaders Paul R. Daugherty and H. James Wilson showed how leading organizations use the power of human-machine collaboration to transform their processes and their bottom lines. Now, as new AI powered technologies like the metaverse, natural language processing, and digital twins begin to rapidly impact both life and work, those companies and other pioneers across industries are tipping the balance even more strikingly toward the human side with technology-led strategy that is reshaping the very nature of innovation. In Radically Human, Daugherty and Wilson show this profound shift, fast-forwarded by the pandemic, toward more human—and more humane—technology. Artificial intelligence is becoming less artificial and more intelligent. Instead of data-hungry approaches to AI, innovators are pursuing data-efficient approaches that enable machines to learn as humans do. Instead of replacing workers with machines, they're unleashing human expertise to create human-centered AI. In place of lumbering legacy IT systems, they're building cloud-first IT architectures able to continuously adapt to a world of billions of connected devices. And they're pursuing strategies that will take their place alongside classic, winning business formulas like disruptive innovation. These against-the-grain approaches to the basic building blocks of business—Intelligence, Data, Expertise, Architecture, and Strategy (IDEAS)—are transforming competition. Industrial giants and startups alike are drawing on this radically human IDEAS framework to create new business models, optimize post-pandemic approaches to work and talent, rebuild trust with their stakeholders, and show the way toward a sustainable future. With compelling insights and fresh examples from a variety of industries, Radically Human will forever change the way you think about, practice, and win with innovation.