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New Age Analytics

Author : Gulshan Shrivastava

Publisher : CRC Press

Page : 344 pages

File Size : 33,8 MB

Release : 2020-05-14

Category : Computers

ISBN : 1000762246

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Book Description

This comprehensive and timely book, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, explores the importance of tools and techniques used in machine learning, big data mining, and more. The book explains how advancements in the world of the web have been achieved and how the experiences of users can be analyzed. It looks at data gathering by the various electronic means and explores techniques for analysis and management, how to manage voluminous data, user responses, and more. This volume provides an abundance of valuable information for professionals and researchers working in the field of business analytics, big data, social network data, computer science, analytical engineering, and forensic analysis. Moreover, the book provides insights and support from both practitioners and academia in order to highlight the most debated aspects in the field.



Artificial Intelligence and Legal Analytics

Author : Kevin D. Ashley

Publisher : Cambridge University Press

Page : 451 pages

File Size : 25,61 MB

Release : 2017-07-10

Category : Computers

ISBN : 1107171504

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Book Description

This book describes how text analytics and computational models of legal reasoning will improve legal IR and let computers help humans solve legal problems.



HBR's 10 Must Reads on AI, Analytics, and the New Machine Age (with bonus article "Why Every Company Needs an Augmented Reality Strategy" by Michael E. Porter and James E. Heppelmann)

Author : Harvard Business Review

Publisher : Harvard Business Press

Page : 193 pages

File Size : 19,57 MB

Release : 2018-12-24

Category : Business & Economics

ISBN : 1633696855

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Book Description

Intelligent machines are revolutionizing business. Machine learning and data analytics are powering a wave of groundbreaking technologies. Is your company ready? If you read nothing else on how intelligent machines are revolutionizing business, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand how these technologies work together, how to adopt them, and why your strategy can't ignore them. In this book you'll learn how: Data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights Blockchain has the potential to restructure the economy Drones and driverless vehicles are becoming essential tools 3-D printing is making new business models possible Augmented reality is transforming retail and manufacturing Smart speakers are redefining the rules of marketing Humans and machines are working together to reach new levels of productivity This collection of articles includes "Artificial Intelligence for the Real World," by Thomas H. Davenport and Rajeev Ronanki; "Stitch Fix's CEO on Selling Personal Style to the Mass Market," by Katrina Lake; "Algorithms Need Managers, Too," by Michael Luca, Jon Kleinberg, and Sendhil Mullainathan; "Marketing in the Age of Alexa," by Niraj Dawar; "Why Every Organization Needs an Augmented Reality Strategy," by Michael E. Porter and James E. Heppelmann; "Drones Go to Work," by Chris Anderson; "The Truth About Blockchain," by Marco Iansiti and Karim R. Lakhani; "The 3-D Printing Playbook," by Richard A. D’Aveni; "Collaborative Intelligence: Humans and AI Are Joining Forces," by H. James Wilson and Paul R. Daugherty; "When Your Boss Wears Metal Pants," by Walter Frick; and "Managing Our Hub Economy," by Marco Iansiti and Karim R. Lakhani.



The Golden Age of Data

Author : Don Grady

Publisher : Routledge

Page : 250 pages

File Size : 47,29 MB

Release : 2019-11-27

Category : Language Arts & Disciplines

ISBN : 1000721728

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Book Description

Audience and media analytics is more important now than ever, and this latest volume in the cutting-edge BEA Electronic Media Research Series collects some of the top scholars working with big data and analytics today. These chapters describe the development and help define media analytics as an academic discipline and professional practice. Understanding audiences is integral to creating and distributing media messages and the study of media analytics requires knowing a range of skills including research methods, the necessary tools available, familiarity with statistical procedures, and a mindset to provide insights and apply findings. This book summarizes the insights of analytics practitioners regarding the current state of legacy media analysis and social media analytics. Topics covered include the evolution of media technologies, the teaching of media measurement and analytics, the transition taking place in media research, and the use of media analytics to answer meaningful questions, drive content creation, and engage with audiences.



Health Data Governance for the Digital Age Implementing the OECD Recommendation on Health Data Governance

Author : OECD

Publisher : OECD Publishing

Page : 80 pages

File Size : 34,96 MB

Release : 2022-05-11

Category :

ISBN : 9264660550

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Book Description

Health data are essential to modern health care delivery, health system management and research and innovation, and must be well governed to foster their use while protecting privacy and data security. The 2016 OECD Recommendation on Health Data Governance provides a roadmap towards more harmonised approaches to health data governance across countries.



Data Economy in the Digital Age

Author : Samiksha Shukla

Publisher : Springer Nature

Page : 139 pages

File Size : 40,59 MB

Release : 2023-12-21

Category : Technology & Engineering

ISBN : 9819976774

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Book Description

The book is a comprehensive guide that explores the concept of data economy and its implications in today's world. The book discusses the principles and components of the ecosystem, the challenges and opportunities presented by data monetization, and the potential risks related to data privacy. Real-life examples and case studies are included to understand the concepts better. The book is suitable for individuals in data science, economics, business, and technology and for students, academics, and policymakers. It is an excellent read for anyone interested in the data economy.



Data-First Marketing

Author : Janet Driscoll Miller

Publisher : John Wiley & Sons

Page : 256 pages

File Size : 26,6 MB

Release : 2020-08-21

Category : Business & Economics

ISBN : 1119701244

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Book Description

Supercharge your marketing strategy with data analytics In Data-First Marketing: How to Compete & Win in the Age of Analytics, distinguished authors Miller and Lim demystify the application of data analytics to marketing in any size business. Digital transformation has created a widening gap between what the CEO and business expect marketing to do and what the CMO and the marketing organization actually deliver. The key to unlocking the true value of marketing is data – from actual buyer behavior to targeting info on social media platforms to marketing’s own campaign metrics. Data is the next big battlefield for not just marketers, but also for the business because the judicious application of data analytics will create competitive advantage in the Age of Analytics. Miller and Lim show marketers where to start by leveraging their decades of experience to lay out a step-by-step process to help businesses transform into data-first marketing organizations. The book includes a self-assessment which will help to place your organization on the Data-First Marketing Maturity Model and serve as a guide for which steps you might need to focus on to complete your own transformation. Data-First Marketing: How to Compete & Win in the Age of Analytics should be used by CMOs and heads of marketing to institute a data-first approach throughout the marketing organization. Marketing staffers can pick up practical tips for incorporating data in their daily tasks using the Data-First Marketing Campaign Framework. And CEOs or anyone in the C-suite can use this book to see what is possible and then help their marketing teams to use data analytics to increase pipeline, revenue, customer loyalty – anything that drives business growth.



Toward a Global Approach to Data in the Digital Age

Author : Mr. Vikram Haksar

Publisher : International Monetary Fund

Page : 43 pages

File Size : 18,72 MB

Release : 2021-10-06

Category : Business & Economics

ISBN : 1513599429

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Book Description

The ongoing economic and financial digitalization is making individual data a key input and source of value for companies across sectors, from bigtechs and pharmaceuticals to manufacturers and financial services providers. Data on human behavior and choices—our “likes,” purchase patterns, locations, social activities, biometrics, and financing choices—are being generated, collected, stored, and processed at an unprecedented scale.



Organizational Innovation in the Digital Age

Author : Carolina Machado

Publisher : Springer Nature

Page : 221 pages

File Size : 27,81 MB

Release : 2022-04-18

Category : Technology & Engineering

ISBN : 3030981835

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Book Description

This book focuses on how businesses manage organizational innovation processes. It explores the innovative policies and practices that organizations need to develop to allow them to be successful in this digital age. These policies will be based on key resources such as research and development and human resources and need to enable companies to respond to challenges they may face due to the digital economy. It explains how organizational innovation can be used to improve business’s development, performance, conduct and outcomes. Contributing to stimulate the growth and development of each individual in a dynamic, competitive and global economy, the present book can be used by a diverse range of readers, including academics, researchers, managers and engineers interested in matters related with Organizational Innovation in the Digital Age.



Big Data Analytics for Internet of Things

Author : Tausifa Jan Saleem

Publisher : John Wiley & Sons

Page : 402 pages

File Size : 11,78 MB

Release : 2021-04-20

Category : Mathematics

ISBN : 1119740754

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Book Description

BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security. The distinguished editors have included resources that address key techniques in the analysis of IoT data. The book demonstrates how to select the appropriate techniques to unearth valuable insights from IoT data and offers novel designs for IoT systems. With an abiding focus on practical strategies with concrete applications for data analysts and IoT professionals, Big Data Analytics for Internet of Things also offers readers: A thorough introduction to the Internet of Things, including IoT architectures, enabling technologies, and applications An exploration of the intersection between the Internet of Things and Big Data, including IoT as a source of Big Data, the unique characteristics of IoT data, etc. A discussion of the IoT data analytics, including the data analytical requirements of IoT data and the types of IoT analytics, including predictive, descriptive, and prescriptive analytics A treatment of machine learning techniques for IoT data analytics Perfect for professionals, industry practitioners, and researchers engaged in big data analytics related to IoT systems, Big Data Analytics for Internet of Things will also earn a place in the libraries of IoT designers and manufacturers interested in facilitating the efficient implementation of data analytics strategies.