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Springer Nature Proceedings excluding Computer Science

Vrince Vimal

Isidoros Perikos

Amrit Mukherjee

Vincenzo Piuri

Multi-Strategy Learning Environment

Proceedings of ICMSLE 2024

A world transformed demands governance transformed.
In a world defined by accelerating technological change, deepening polarization, and an erosion of shared reality, Restoring Truth and Trust: An Agenda for the Intelligent Age offers a clear, grounded, and hopeful path forward. Drawing on 55 years of service to the global public interest, Klaus Schwab reflects on what it will take to navigate the transition from the Industrial Age to a truly Intelligent Age, one guided not merely by algorithms and data, but by values, responsibility, and human dignity.
Through a powerful blend of analysis, lived experience, and philosophical insight, this book explains why truth and trust have become the defining fault lines of our time, and how societies, institutions, and individuals can rebuild them. It presents constructive optimism not as idealism but as a disciplined and responsible approach to shaping a better future.
From corporate governance to environmental stewardship, from the social contract to globalization, from education to leadership, this book outlines a comprehensive, values-based agenda for how humanity can master the Intelligent Age rather than be mastered by it.
Restoring Truth and Trust is the third volume of Schwab's Intelligent Age Series. It is a compelling call to action for global citizens who refuse to accept decline as destiny, and who are ready to help build a more intelligent, humane, and trustworthy future.
The future can - and must - be better than the present.

An Agenda for the Intelligent Age

Restoring Truth and Trust

Preface.- Chapter 1: A World in Transition.- Chapter 2: The Luddite Complex and the Psychology of Resistance.- Chapter 3: Man and the Machine – The Human-Machine Relationship.- Chapter 4: Technological Progress Driving Social Progress.- Chapter 5: Education in the Supply Chain – Systemic Overhaul.- Chapter 6: The Rise of the Knowledge Worker 3.0.- Chapter 7: Organizing Principles – From Hierarchies to Networks.- Chapter 8: Social Policy and Economic Equity.- Chapter 9: Conscious Capitalism and the Modern Social Contract.- Chapter 10: Sector Deep Dive – Logistics, Trucking, and the Automation Paradox.- Chapter 11: Strategy Map 2.0 – A 21st Century Vision for Human Capital.- Conclusion – Designing the Human Future.

This book aims to redefine how organizations view talent, skills, and workforce readiness in the 21
 st
 century. The rapid acceleration of artificial intelligence, machine learning, and digital transformation is reshaping the global workforce at an unprecedented pace. As businesses grapple with the profound impact of these changes, the need for a comprehensive framework to navigate this transformation is critical. 
 TheHuman Capital Supply Chain in the Age of AI
 offers a groundbreaking approach to workforce strategy, integrating insights from data science, economic theory, sociology/psychology, and human capital management to create practical ideas for leaders, educators, and policymakers in the 21
 st
 century.
 
 This book focuses on strategic orchestration of people across roles, locations, and skill levels as flexible supply chain actors, enabled through AI-driven workforce forecasting, intelligent learning pathways, and real-time deployment models. Where 
 The Magic Conveyor Belt
 examines human-machine collaboration in logistics, my narrative shifts the spotlight to human capital as integral pipeline - managing assets, quantifying and integrating them into supply chain operations to drive resilience and innovation. It explores how data-driven decision-making, digital credentials, and AI-driven skills assessment can bridge the gap between education and employment, creating a resilient, adaptable workforce prepared for the jobs of the future.
 This frameworks and execution blueprint empowers organizations and leaders to transform talent strategy into a dynamic, data-driven supply chain, thereby placing human capital firmly at the center of AI‑infused operations.What You Will LearnThe transformation from knowledge to learning economiesThe role of digital credentials and learning recordsWorkforce strategy in an age of disruptionWho This Book is ForBusiness leaders, HR professionals, educators, policymakers, and technology experts seeking a practical guide to workforce strategy and talent management in the digital age.

Workforce Transformation, Strategy, and the Future of Work

Human Capital Supply Chain in the Age of AI

Tokenisation is the new champion of digital transformation: a revolution that strikes at the heart of industry and commerce by elevating the humble ledger to global scale.While other technologies stole the headlines, tokenisation quietly and steadily got to work, becoming the engine room that is now powering a wave of innovation across sectors. It is driving out inefficiency, eliminating friction, mobilising data, and enabling distributed processes built on the principles of transparency, equitable access, and trust.From theory to practice, this clear and compelling guide explores the foundations and applications of tokenisation. Starting from such blockchain essentials as cryptographic keys, wallets and transactions, it moves into the truly transformational world of smart contracts, distributed databases and interoperability before analysing real-world applications in trade finance, healthcare, wealth management, and real estate.Wherever you look, tokenisation is turning bold ideas into operational reality. This isn't theory; it's infrastructure. And it's here.Whether you are a curious newcomer or a seasoned technologist, Tokenisation Applied looks beyond the hype to demonstrate where and why this technology matters.Part primer, part playbook, it is an essential roadmap to the Web3 future.

A Business Leader's Guide to Blockchain, Smart Contracts, and Unlocking Web3

Tokenisation Applied

This Open Access book captures the essential ideas and strategic perspectives shared by global leaders in science and technology, business, and policymaking at the STS Forum 2025 in Kyoto. Addressing cutting-edge issues in artificial intelligence, sustainability, health, and governance, it translates high-level dialogue into an accessible, evidence-based narrative that connects scientific credibility with social responsibility and business excellence.
Drawing on the Forum’s multi-stakeholder discussions, the book explores how AI is reshaping knowledge creation and transforming human development and societal transformation, offering forward-looking reflections on ethics, equity, creativity, and leadership. It serves both as a record of the Forum’s deliberations and as a practical guide for decision-makers, educators, and corporate innovators seeking to align technological progress with inclusive and sustainable futures.

A Report from STS Forum 2025

AI, Innovation, and Beyond

What happens when intelligent machines aren’t just in our pockets but are also driving our cars, making our decisions, folding our laundry, and educating our kids? You’ve heard the hype: AI will make us healthier, give every child a personalized tutor, run our businesses more efficiently, return hours of free time to our overworked brains, and make discoveries previously unimagined by humankind. The AI future is going to be unlike any other technological revolu­tion. But what does that really mean? And will AI truly make life better? To find out, award-winning journalist Joanna Stern surrendered her life to artificial intelligence for one year. The results are both hilarious and unsettling. I Am Not a Robot is like a time machine trip to the very near future, where AI promises to be your doctor, chauffeur, teacher, masseuse, coworker, thera­pist, financial planner, chef, housekeeper, and even . . . romantic partner. Your colleague might be using ChatGPT to write emails at work, but Joanna used AI tools and robots to do household chores, to manage her health, and to transport her family on vacation. If there was a decision to make or a task to do, she let AI go first. Along the way, she conducted exclusive interviews with the tech leaders building this future, then reported back from the front lines as your funny, no-nonsense tour guide. Of course, tech’s sunny promises never tell the whole story, and that’s what Joanna is here to share. Filled with illustrations and photographs, this book offers less hype, more clarity, and as little jargon as humanly (or robotically) possible. It’s an AI guide for ordinary people—not the tech bros who tried to sell you a cruise to the metaverse or an NFT of a cartoon monkey. This book is not the definitive story, because we’re only a few years into the AI revolution. But after a year of living as a human lab rat, Joanna deliv­ers one of the clearest—and funniest—pictures yet of what’s really happening and what it means for you.

What happens when artificial intelligence moves into your home, drives your car, and starts making your decisions? Wall Street Journal senior tech columnist Joanna Stern surrendered her life to artificial intelligence for one year. The results are both hilarious and alarming.We’ve all heard that AI is going to change our lives, but what does that really mean for ordinary people—not the tech bros who tried to sell us a cruise to the metaverse or an NFT of a cartoon monkey? What are the salient sights, habits, and sounds that will permeate our lives? What are things that we can barely perceive right now, but will soon become second nature to us?In this informative and engaging book&nbsp;Joanna Stern of the Wall Street Journal takes you on a time machine trip to the very near future, where AI promises to be your doctor, chauffeur, teacher, masseuse, and even . . .&nbsp;romantic partner. She introduces us to the many very real humans who are inventing the future. Unlike other AI books, Stern’s book is full of fun, humor, and creativity as Joanna tests new technology and explores how people are living (and playing) with it already.It was hard to imagine buying things with a single tap when the Internet became part of your consciousness in 1994. You didn’t think you’d be video calling a doctor, who’d just confirm what you’d already found using something called Google. And did you ever think that you’d snap a photo on your pocket-sized supercomputer for people to “heart?”&nbsp;Technology profoundly changes everyday life, and this book is a very human journey into a brave new world—a world that’s exciting, and, yes, a little scary. Like Mary Roach, Joanna cuts to the funny and oddly marvelous when examining these serious ideas and uses infographics, photos, and illustrations to make esoteric material engaging and instructive. It’s like taking a weird, unforgettable vacation with a really good friend.

My Year Using AI to Do (Almost) Everything

I Am Not a Robot

Pricing in the Age of AI

BestMasters

Diese Arbeit befasst sich mit Kundenrezensionen in der Telekommunikationsbranche, wobei moderne Machine Learning Methoden im Bereich Sentiment Analysis und Explainable AI angewendet werden.

Hierbei wird als empirische Studie eine große Mengen an Textdaten aus Online-Bewertungen ausgewertet, um Erkenntnisse über emotionale Tendenzen, wiederkehrende Themenschwerpunkte und Einflussfaktoren auf die Kundenzufriedenheit zu gewinnen. Durch die Einbeziehung von Explainable AI wird eine transparente und nachvollziehbare Interpretation der Ergebnisse möglich. Der entwickelte KI-Ansatz dient als Grundlage für datenbasierte Entscheidungsprozesse und weist durch seine flexible Architektur ein hohes Übertragungspotenzial auf unterschiedliche Branchen auf.

Diese Arbeit befasst sich mit Kundenrezensionen in der Telekommunikationsbranche, wobei moderne Machine Learning Methoden im Bereich Sentiment Analysis und Explainable AI angewendet werden.Hierbei wird als empirische Studie eine große Mengen an Textdaten aus Online-Bewertungen ausgewertet, um Erkenntnisse über emotionale Tendenzen, wiederkehrende Themenschwerpunkte und Einflussfaktoren auf die Kundenzufriedenheit zu gewinnen. Durch die Einbeziehung von Explainable AI wird eine transparente und nachvollziehbare Interpretation der Ergebnisse möglich. Der entwickelte KI-Ansatz dient als Grundlage für datenbasierte Entscheidungsprozesse und weist durch seine flexible Architektur ein hohes Übertragungspotenzial auf unterschiedliche Branchen auf.

Eine empirische Studie mit dem Einsatz von Sentiment Analysis und Explainable AI

Analyse von Kundenrezensionen in der Telekommunikationsbranche

Chapter 1: Six Thinking Dimensions.- Chapter 2: White Dimension - The Factual AI-powered Viewpoint.- Chapter 3: Red Dimension - Feelings and Instincts AI-powered Viewpoint.- Chapter 4: Black Dimension - Judgement and Evidence AI-powered Viewpoint.- Chapter 5: Yellow Dimension - Optimistic AI-powered Viewpoint.- Chapter 6: Green Dimension - Creativity AI-powered Viewpoint.- Chapter 7: Blue Dimension - Process Management AI-powered Viewpoint.- Chapter 8: Six Thinking Dimensions - Holistic AI-powered Viewpoint.

Agentic Hyper-Personalized Dimensions – Six Dimensions of Business Dark Data
 explores how generative AI (Gen-AI), combined with agentic intelligence, can transform raw enterprise data into hyper-personalized, actionable insights. This book introduces a practical framework for building AI-powered agent swarms that operate across six critical dimensions of business dark data, empowering intelligent automation, decision augmentation, and strategic foresight at unprecedented scale.
 In an age when data is underutilized, organizations are overwhelmed by complexity, latency, and fragmentation. Traditional analytics pipelines fall short in handling dynamic environments and human-centric demands. This book addresses this critical gap by detailing how autonomous Gen-AI agents — built on foundational disciplines of data engineering, data science, and machine learning — can process, personalize, and operationalize hidden insights buried deep within enterprise systems. The six dimensions presented in the book form a cognitive and computational blueprint that guides the design, deployment, and evolution of agentic swarms. Each dimension focuses on a specific mode of intelligence — such as contextual reasoning, emotional alignment, or real-time adaptive sensing — and shows how AI agents can specialize within each domain to maximize business impact.Readers won’t just learn theory — they’ll explore field-tested methodologies to deploy Gen-AI-powered solutions at enterprise scale. From zoned data lakes and transformer models to swarm governance and consensus mechanisms, the book walks readers through the full life cycle of building intelligent systems that learn, evolve, and act with purpose. What makes this book essential — and unlike others in the market — is that the author is not writing from the sidelines. He is actively architecting and delivering these systems today, with firsthand insight into what works, what fails, and what the future holds. The methodology presented blends system design, human-aligned AI, industrial automation, and trusted decision-making, offering readers a rich and practical road map for AI-first enterprise innovation.What You Will Learn<ul><li>How to structure AI-powered agents across six interlinked cognitive and computational dimensions to effectively process dark data and deliver hyper-personalized, real-time business insights.</li><li>Practical knowledge on how to orchestrate swarms of Gen-AI agents — governed by Councils — that collaboratively manage complexity, detect emerging patterns, and operate autonomously in enterprise environments.</li><li>The foundational and advanced skills required to implement generative AI and agent-based intelligence within large-scale, multi-cloud, and hybrid business ecosystems.</li></ul>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;Who This Book is ForThis book is designed for professionals and practitioners operating at the intersection of artificial intelligence and business transformation. It is ideal for AI developers, data scientists, solution architects, enterprise engineers, and technical managers who are looking to move beyond the hype of generative AI and apply it meaningfully within industrial and enterprise-grade ecosystems.

Six Dimensions of Business Dark Data

Agentic Hyper-Personalized Dimensions

This innovative textbook edited by international experts in technology law and policy provides a comprehensive and accessible guide into the fast-evolving landscape of technology law and policy in the UK and the EU. The recent wave of regulatory reforms adopted by UK and EU regulators increases the complexity of Internet law as it had developed in the past decades. Recognising the ever-growing importance of artificial intelligence in today's public discourse, the textbook extends beyond traditional legal sectoral frameworks, and explores the intersection of law, technology, and public policy to describe and critically reflect on current and emerging issues in the modern information society. This exploration follows thematic areas of interest, such as adtech, privacy by design, predictive policing, and social media, while also providing accessible historical overviews of how policy has developed in specific fields including platform liability, copyright, or data protection, and case studies on key topics. The companion website provides multimedia resources to delve deeper into specific topics; introductory materials for readers that are unfamiliar with the EU legal system; and teaching resources. Law, Policy, and the Internet is an essential resource for anyone seeking to navigate the complexities of internet regulation in an era of exponential technological change.

Law, Policy, and the Internet

New Information Communication Technologies in the Digital Era

This book explores how artificial intelligence is transforming accounting education. It provides educators and institutions with practical frameworks, case studies, and implementation strategies to integrate AI into teaching, learning, and curriculum design, preparing the next generation of accountants for an AI-driven world.

Harnessing AI for Effective Learning

Strategies and Prompting in the Accounting Classroom

Multi-Strategy Learning Environment

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