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Cover -- Title page -- Copyright Page -- Contents -- Introduction: A Whole New Internet -- Welcome to Web 3.0 -- But Where Is That Road Heading? -- What to Expect from This Book -- Part I The Future Internet and The Next Digital Revolution -- Chapter 1 The Metaverse and A More Immersive Online Experience -- How the Metaverse Will Change Our World -- The Technology That Makes All This Possible -- Who's Working on the Metaverse Already? -- What Will the Metaverse Mean for Businesses? -- Key Takeaways -- Note -- Chapter 2 WEB3 and The Rise of Decentralization -- What Is Web3? -- Web3 Technology for Beginners: Blockchain, dAPPs, NFTs, and DAOs -- How Will Web3 Impact Businesses? -- Key Takeaways -- Notes -- Chapter 3 When and How Will This Future Internet Play Out? Exploring Timelines, Future Trends, and Challenges -- When Will the Future Internet Arrive? -- Future Trends That Will Shape the Internet -- Roadblocks, Risks, and Challenges -- Key Takeaways -- Notes -- Part II How the Future Internet Will Change Our World -- Chapter 4 How Creative and Entertainment Industries are Finding New Ways to Engage With Their Audiences -- The Future Internet and the "Creator Economy" -- New Ways of Engaging with Art -- Gaming and the Impact of the Metaverse and Web3 -- Transforming Music and Entertainment -- Meanwhile, in the World of Sports . . . -- Key Takeaways -- Notes -- Chapter 5 How Fashion and Retail Brands are Preparing For A More Immersive World -- Enjoying a Better Customer Experience in the Current Internet -- Creating Digital-Only Products -- Take Note: Brands Are Already Creating a Metaverse Presence -- Web3 (Especially Blockchain) and the Impact on Retailers -- NFTs in Retail -- Now, Web3 Platforms Are Showing Up as Physical Retailers -- Key Takeaways -- Notes -- Chapter 6 Overhauling How We Learn (At All Stages of Life).

Intro -- Title Page -- Copyright -- Dedication -- Introduction -- Trend 1 Artificial Intelligence and Machine Learning -- The One-Sentence Definition -- What Is Artificial Intelligence and Machine Learning? -- How Is Artificial Intelligence and Machine Learning Used in Practice? -- Key Challenges -- How to Prepare for This Trend -- Notes -- Trend 2 Internet of Things and the Rise of Smart Devices -- The One-Sentence Definition -- What Is the Internet of Things? -- How Is the Internet of Things Used in Practice? -- Key Challenges -- How to Prepare for This Trend -- Notes -- Trend 3 From Wearables to Augmented Humans -- The One-Sentence Definition -- What Are Wearables and Augmented Humans? -- How Are Wearables Used in Practice? -- Key Challenges -- How to Prepare for This Trend -- Notes -- Trend 4 Big Data and Augmented Analytics -- The One-Sentence Definition -- What Is Big Data and Augmented Analytics? -- How Is Big Data and Augmented Analytics Used in Practice? -- Key Challenges -- How to Prepare for This Trend -- Notes -- Trend 5 Intelligent Spaces and Smart Places -- The One-Sentence Definition -- What Are Intelligent Spaces and Smart Places? -- How Are Intelligent Spaces and Smart Places Used in Practice? -- Key Challenges -- How to Prepare for This Trend -- Notes -- Trend 6 Blockchains and Distributed Ledgers -- The One-Sentence Definition -- What Are Blockchains and Distributed Ledgers? -- How Are Blockchains and Distributed Ledgers Used in Practice? -- Key Challenges -- How to Prepare for This Trend -- Notes -- Trend 7 Cloud and Edge Computing -- The One-Sentence Definition -- What Are Cloud and Edge Computing? -- How Are Cloud and Edge Computing Used in Practice? -- Key Challenges -- How to Prepare for This Trend -- Notes -- Trend 8 Digitally Extended Realities -- The One-Sentence Definition -- What Are Digitally Extended Realities?.

What is data-driven HR? -- The evolution of intelligent (and super intelligent) HR -- Data-driven strategy : making a business case for more intelligent HR -- Capitalising on the data explosion : identifying key sources of HR-relevant data -- Data-driven HR tools : turning data into insights with HR analytics -- Potential pitfalls : looking at data privacy, transparency and security -- Data-driven recruitment -- Data-driven employee engagement -- Data-driven employee safety and wellness -- Data-driven learning and development -- Data-driven performance management -- The future of data-driven HR

About the author -- Acknowledgements -- Why every business is now a data business -- Deciding your strategic data needs -- Using data to improve your business decisions -- Using data to improve your business operations -- Monetizing your data -- Sourcing and collecting data -- Turning data into insights -- Creating the technology and data infrastructure -- Building data competencies in your organization -- Ensuring your data doesn't become a liability: data governance -- Executing and revisiting your data strategy -- Index

"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 "--

"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 "--

"There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform."--

Perspectives on Intellectual Capital bridges the disciplinary gaps and facilitates knowledge transfer across disciplines, featuring views on intellectual capital from the fields of accounting, strategy, marketing, human resource management, operations management, information systems, and economics. It also offers interdisciplinary views on intellectual capital from the perspectives of public policy, knowledge management and epistemology. By analyzing the various perspectives, Editor Bernard Marr is able to present a truly comprehensive understanding of what intellectual capital is, including t

This practical book provides managers with five essential steps to improve their business intelligence and allow them to carry out the kind of reality check they need to maintain competitive advantage for their organization. The author's simple, step-by-step model offers managers a vital tool for analyzing their business and improving performance.