The Data Deluge

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The Data Deluge

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Author : Arun C Kumar
language : en
Publisher: Forbesbooks
Release Date : 2024-06-04

The Data Deluge written by Arun C Kumar and has been published by Forbesbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-04 with Business & Economics categories.

Uncover the intersection between data use and ethics. In The Data Deluge, Arun Kumar brings his digital and data development expertise and experience to start a needed and important conversation on how we should approach data and marketing. Data's explosion and targeted marketing has ushered in a new era of data use and analytics. Unfortunately, in today's world, neither marketers nor consumers are fully benefiting from this explosion of data. Without pulling any punches, Arun presents a set of principles to drive your data strategy. Despite what regulators and politicians would have you believe, it is possible to be ethical and data-driven to the benefit of brands and consumers. With easy-to-understand language, Arun explains the current state of affairs around data use, and he offers solutions you can implement in your own marketing strategy and your business as a whole. Featuring perspectives with experts across the industry, Arun shows how this situation is impacting more than just marketing teams. While CMOs should take heed, CEOs, CFOs, and other company decision-makers will do well to consider the impacts of data use on their bottom line. The surprising answer to making data work harder for marketers and people in the age of AI lies in the much-misunderstood world of ethics.

Big Data

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Author :
language : en
Publisher:
Release Date :

Big Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computer science categories.

Today's data users often feel like they're drinking from a fire hose of information. Investigate strategies that help manage the data deluge, and learn efficient ways to think about data that separate what's genuinely useful from what can be strategically ignored.

A Guide To Data Science And Analytics

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Author : Juniper Blake
language : en
Publisher:
Release Date : 2024-05-31

A Guide To Data Science And Analytics written by Juniper Blake and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Computers categories.

"A Guide to Data Science and Analytics: Navigating the Data Deluge: Tools, Techniques, and Applications" is a thorough resource for aspiring and seasoned data scientists, analysts, and business professionals who wish to harness the power of data in their work. This book explores the complex field of data science and provides a straightforward road map for navigating the frequently confusing world of data analytics. The handbook, designed with a wide readership in mind, starts with fundamental ideas to ensure that readers understand data science fundamentals and the significance of data-driven decision-making in contemporary businesses. It covers a broad range of subjects, including advanced methods in data modeling and machine learning, as well as data gathering and cleaning. The book gives readers in-depth explanations of essential tools and technologies, including popular machine learning frameworks, R, Python, and SQL, so that they can apply workable solutions in their projects. The book highlights the significance of comprehending the business context and using analytical insights to solve practical challenges in addition to technical skills. Case studies from various industries show how businesses use data to drive efficiency and creativity, illuminating the practical applications of data science. The guide also examines ethical issues and best practices in data management to guarantee that practitioners use data responsibly and transparently. "A Guide to Data Science and Analytics" provides readers with a valuable manual for navigating the intricacies of the data flood by balancing theory, real-world examples, and ethical norms. That enables readers to turn data into actionable insights and strategic advantage.

The Data Deluge

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Author : Deanna B. Marcum
language : en
Publisher: Bloomsbury Publishing USA
Release Date : 2009-11-19

The Data Deluge written by Deanna B. Marcum and has been published by Bloomsbury Publishing USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-19 with Language Arts & Disciplines categories.

An essential collection of essays for librarians looking to support E-science programs and capabilities to their institutions. From the frontiers of contemporary information science research comes this helpful and timely volume for libraries preparing for the deluge of data that E-science can deliver to their patrons and institutions. The Data Deluge: Can Libraries Cope with E-Science? brings together nine of the world's foremost authorities on the capabilities and requirements of E-science, offering their perspectives to librarians hoping to develop similar programs for their own institutions. The essays contained in The Data Deluge were adapted from papers first delivered at the prestigious annual Library Round Table at the Kanazawa Institute of Technology, where E-science has been the theme from the past two annual conferences. Now this groundbreaking work is available in convenient printed format for the first time. The essays are divided into three parts: an overview of E-science challenges for libraries; perspectives on E-science; and perspectives from individual research libraries.

Too Big To Ignore

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Author : Phil Simon
language : en
Publisher: John Wiley & Sons
Release Date : 2013-03-05

Too Big To Ignore written by Phil Simon and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-05 with Business & Economics categories.

Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.

When We Are No More

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Author : Abby Smith Rumsey
language : en
Publisher: Bloomsbury Publishing USA
Release Date : 2016-03-01

When We Are No More written by Abby Smith Rumsey and has been published by Bloomsbury Publishing USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-01 with Language Arts & Disciplines categories.

Our memory gives the human species a unique evolutionary advantage. Our stories, ideas, and innovations--in a word, our "culture"--can be recorded and passed on to future generations. Our enduring culture and restless curiosity have enabled us to invent powerful information technologies that give us invaluable perspective on our past and define our future. Today, we stand at the very edge of a vast, uncharted digital landscape, where our collective memory is stored in ephemeral bits and bytes and lives in air-conditioned server rooms. What sources will historians turn to in 100, let alone 1,000 years to understand our own time if all of our memory lives in digital codes that may no longer be decipherable? In When We Are No More Abby Smith Rumsey explores human memory from pre-history to the present to shed light on the grand challenge facing our world--the abundance of information and scarcity of human attention. Tracing the story from cuneiform tablets and papyrus scrolls, to movable type, books, and the birth of the Library of Congress, Rumsey weaves a compelling narrative that explores how humans have dealt with the problem of too much information throughout our history, and indeed how we might begin solve the same problem for our digital future. Serving as a call to consciousness, When We Are No More explains why data storage is not memory; why forgetting is the first step towards remembering; and above all, why memory is about the future, not the past. "If we're thinking 1,000 years, 3,000 years ahead in the future, we have to ask ourselves, how do we preserve all the bits that we need in order to correctly interpret the digital objects we create? We are nonchalantly throwing all of our data into what could become an information black hole without realizing it." --Vint Cerf, Chief Evangelist at Google, at a press conference in February, 2015.

The Data Gaze

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Author : David Beer
language : en
Publisher: SAGE
Release Date : 2018-10-29

The Data Gaze written by David Beer and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-29 with Social Science categories.

The Data Gaze is concerned with understanding how data-led, data-driven and data-reliant forms of capitalism pervade organisational and everyday life.

Pattern Recognition In Industry

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Author : Phiroz Bhagat
language : en
Publisher: Elsevier
Release Date : 2005-03-30

Pattern Recognition In Industry written by Phiroz Bhagat and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-03-30 with Computers categories.

- "Find it hard to extract and utilise valuable knowledge from the ever-increasing data deluge?" If so, this book will help, as it explores pattern recognition technology and its concomitant role in extracting useful information to build technical and business models to gain competitive industrial advantage. - *Based on first-hand experience in the practice of pattern recognition technology and its development and deployment for profitable application in Industry. - Phiroz Bhagat is often referred to as the pioneer of neural net and pattern recognition technology, and is uniquely qualified to write this book. He brings more than two decades of experience in the "real-world" application of cutting-edge technology for competitive advantage in industry. Two wave fronts are upon us today: we are being bombarded by an enormous amount of data, and we are confronted by continually increasing technical and business advances. Ideally, the endless stream of data should be one of our major assets. However, this potential asset often tends to overwhelm rather than enrich. Competitive advantage depends on our ability to extract and utilize nuggets of valuable knowledge and insight from this data deluge. The challenges that need to be overcome include the under-utilization of available data due to competing priorities, and the separate and somewhat disparate existing data systems that have difficulty interacting with each other. Conventional approaches to formulating models are becoming progressively more expensive in time and effort. To impart a competitive edge, engineering science in the 21st century needs to augment traditional modelling processes by auto-classifying and self-organizing data; developing models directly from operating experience, and then optimizing the results to provide effective strategies and operating decisions. This approach has wide applicability; in areas ranging from manufacturing processes, product performance and scientific research, to financial and business fields. This monograph explores pattern recognition technology, and its concomitant role in extracting useful knowledge to build technical and business models directly from data, and in optimizing the results derived from these models within the context of delivering competitive industrial advantage. It is not intended to serve as a comprehensive reference source on the subject. Rather, it is based on first-hand experience in the practice of this technology: its development and deployment for profitable application in industry. The technical topics covered in the monograph will focus on the triad of technological areas that constitute the contemporary workhorses of successful industrial application of pattern recognition. These are: systems for self-organising data; data-driven modelling; and genetic algorithms as robust optimizers. - "Find it hard to extract and utilise valuable knowledge from the ever-increasing data deluge?" If so, this book will help, as it explores pattern recognition technology and its concomitant role in extracting useful information to build technical and business models to gain competitive industrial advantage. - Based on first-hand experience in the practice of pattern recognition technology and its development and deployment for profitable application in Industry. - Phiroz Bhagat is often referred to as the pioneer of neural net and pattern recognition technology, and is uniquely qualified to write this book. He brings more than two decades of experience in the "real-world" application of cutting-edge technology for competitive advantage in industry.

Crowdsourcing Geographic Knowledge

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Author : Daniel Sui
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-08-10

Crowdsourcing Geographic Knowledge written by Daniel Sui and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-10 with Science categories.

The phenomenon of volunteered geographic information is part of a profound transformation in how geographic data, information, and knowledge are produced and circulated. By situating volunteered geographic information (VGI) in the context of big-data deluge and the data-intensive inquiry, the 20 chapters in this book explore both the theories and applications of crowdsourcing for geographic knowledge production with three sections focusing on 1). VGI, Public Participation, and Citizen Science; 2). Geographic Knowledge Production and Place Inference; and 3). Emerging Applications and New Challenges. This book argues that future progress in VGI research depends in large part on building strong linkages with diverse geographic scholarship. Contributors of this volume situate VGI research in geography’s core concerns with space and place, and offer several ways of addressing persistent challenges of quality assurance in VGI. This book positions VGI as part of a shift toward hybrid epistemologies, and potentially a fourth paradigm of data-intensive inquiry across the sciences. It also considers the implications of VGI and the exaflood for further time-space compression and new forms, degrees of digital inequality, the renewed importance of geography, and the role of crowdsourcing for geographic knowledge production.

Text As Data

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Author : Justin Grimmer
language : en
Publisher: Princeton University Press
Release Date : 2022-03-29

Text As Data written by Justin Grimmer and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-29 with Computers categories.

A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry