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Navigating the Self-Service Revolution
With Smart Machines

Navigating the Self-Service Revolution With Smart Machines

Chapman & Hall/Distributed Computing and Intelligent Data Analytics Series

This book explores the transformative potential of artificial intelligence (AI) and data engineering in shaping the future of smart cities. With the rapid growth of urbanisation, cities are facing complex challenges such as efficient resource management, urban mobility, environmental sustainability, and citizen well-being. It offers authoritative insights and perspectives brought together by leading experts to delve into the latest advancements and applications of AI and data engineering in addressing urban challenges.¿ Includes practical insights, case studies and real-world examples of how AI and data engineering are being applied in smart city initiatives¿ Presents the role of AI in enhancing urban infrastructure, optimizing energy consumption, enabling intelligent transportation systems, and empowering citizen participation.¿ Showcases how AI and data engineering can revolutionise urban landscapes and pave the way for sustainable and intelligent cities¿ Discusses the ethical and privacy concerns related to the use of these technologies in cities, highlighting the importance of responsible and sustainable development.¿ Presents an interdisciplinary approach, exploring the intersection of AI and data engineering with fields such as urban planning, transportation, energy and health.The book is primarily aimed at researchers, practitioners, and students in the fields of computer science, engineering and urban planning. It is also relevant to policymakers, government officials, and other professionals involved in the development and implementation of smart city solutions.

AI and Data Engineering for Smart Cities

This book is the first investigation of the relationship between EU digital sovereignty and sustainability strategies. It maps the ambitions and limitations of EU digital strategic autonomy and explores the structural challenges underlying its relationship with its green transition objectives in the context of the ongoing wars in neighbouring European countries and the consequent tensions in the EU energy sector. The EU is racing to achieve technological independence from third countries and foreign multinational companies to protect its digital sovereignty and preserve its fundamental rights. In the EU, digitalisation and the green transformation are seen as twin transitions. Yet, EU digital sovereignty strategies have a significant environmental cost. Reaching a status of strategic autonomy of the EU at the level of digital infrastructures, products, services and data implies higher energy consumption and exploitation of natural resources. Moreover, the geopolitical tensions following the Russian invasion of Ukraine have provoked an unprecedented energy crisis, which is affecting EU economies and impacting objectives of the twin transitions. The book offers an interdisciplinary analysis of the major EU regulatory and policy instruments in this field, providing an invaluable guide for academics, practitioners, and policymakers navigating the complex issues of preserving digital sovereignty and addressing climate change in times of war and energy crisis.

EU Challenges in Times of War and Energy Crisis

Digital Sovereignty and the Green Transition

What separates brands that lead their category from those still chasing it? Velocity - directional momentum built through community, AI and strategic speed. Velocity Marketing provides mid to senior marketing professionals with a comprehensive implementation system for building brands that compound. This practitioner's field manual bridges three decades of traditional brand-building principles with the systems, behaviours and community dynamics building the most valuable brands of the next decade. It translates complex emerging technology - AI, community mechanics, decentralised ownership - into immediately actionable marketing strategy. Drawing on field-tested frameworks including the One Rule Formula, Velocity Loops and the Decentralised Brand Scorecard, every chapter delivers strategic depth alongside practical 'Monday Morning Moves' that teams can implement within days. Featuring real-world examples from Nike, Adidas, Lufthansa, Starbucks and other major organisations, this book demonstrates how forward-thinking brands are building compounding momentum through community collaboration, AI-enhanced operations and velocity-driven learning systems. Whether you lead marketing at a Fortune 500 enterprise or a growth-stage mid-market organisation, Velocity Marketing is the definitive implementation guide for building brands that never stop earning their place.

B2B Brand Building, Momentum and Category Leadership

Marketing at Velocity

Zum Werk
Mittels Smart Contracts können sich Verträge selbst ausführen und teilweise autonom agieren. Die Vertragsparteien werden dadurch in die Lage versetzt, die Erfüllung und Durchsetzung von Verpflichtungen durch Code zu automatisieren und damit eine bessere Einhaltung der Verträge zu gewährleisten.
Praktische Anwendungsfälle von Smart Contracts gibt es u.a. bereits in der Versicherungs- sowie Finanzdienstleistungsbranche. Dieses Handbuch enthält fundierte Beiträge aus der Informatik und der Wirtschaft mit Praxisbeispielen. Der Schwerpunkt liegt jedoch auf der rechtlichen Bewertung.

Vorteile auf einen Blickhoch technisiertes Thema für Juristinnen und Juristen verständlich aufbereitetPraxisbeispieleverstärkte Berücksichtigung von dezentralisierten FinanzdienstleistungenZur Neuauflage
Die Neuauflage berücksichtigt verstärkt das immer wichtiger werdende Thema der dezentralisierten Finanzdienstleistungen (Decentralized Finance, DeFi) und geht auch auf Nonfungible Token (NFT), Lending, Decentralized Exchange (DEX) und Yield ein. Einbezogen wird dabei auch die Verordnung über Märkte für Kryptowerte (MiCA-VO).

Zielgruppe
Für Rechtsanwaltschaft, Richterschaft und Rechtsabteilungen in Unternehmen.

Zum Werk 
 Mittels Smart Contracts können sich Verträge selbst ausführen und teilweise autonom agieren. Die Vertragsparteien werden dadurch in die Lage versetzt, die Erfüllung und Durchsetzung von Verpflichtungen durch Code zu automatisieren und damit eine bessere Einhaltung der Verträge zu gewährleisten.
 
 Praktische Anwendungsfälle von Smart Contracts gibt es u.a. bereits in der Versicherungs- sowie Finanzdienstleistungsbranche. Dieses Handbuch enthält fundierte Beiträge aus der Informatik und der Wirtschaft mit Praxisbeispielen. Der Schwerpunkt liegt jedoch auf der rechtlichen Bewertung.
 Vorteile auf einen Blick<ul><li>hoch technisiertes Thema für Juristinnen und Juristen verständlich aufbereitet</li><li>Praxisbeispiele</li><li>verstärkte Berücksichtigung von dezentralisierten Finanzdienstleistungen</li></ul>Zur Neuauflage 
 Die Neuauflage berücksichtigt verstärkt das immer wichtiger werdende Thema der dezentralisierten Finanzdienstleistungen (Decentralized Finance, DeFi) und geht auch auf Nonfungible Token (NFT), Lending, Decentralized Exchange (DEX) und Yield ein. Einbezogen wird dabei auch die Verordnung über Märkte für Kryptowerte (MiCA-VO).
 Zielgruppe 
 Für Rechtsanwaltschaft, Richterschaft und Rechtsabteilungen in Unternehmen.

NFT, Lending, DEX, Yield

Rechtshandbuch Smart Contracts und Decentralized Finance

Turn AI investment into scalable business impact by enabling your workforce to build the solutions they actually need. From AI Users to Solution Builders is a strategic guide for senior AI, technology, and transformation leaders who want to move beyond underperforming, centralized AI initiatives, and unlock real enterprise value. As organizations struggle to translate AI into measurable results, this book shows how shifting from top-down deployment to workforce-led solution building creates faster adoption, stronger ROI, and sustained innovation. Written by experienced AI leader Wei Manfredi, this book combines strategic insight with practical execution. It draws clear parallels between failed digital transformation efforts and current AI adoption challenges, while demonstrating how natural language interfaces are reshaping access to AI. By enabling non-technical professionals to design their own tools, organizations can embed AI directly into workflows, decision-making, and daily operations. You'll learn how to: - Shift from centralized AI models to workforce-driven innovation - Enable employees to build AI solutions for real workflows - Design scalable infrastructure for AI solution development - Apply change management to overcome resistance and drive adoption &gt;Featuring real-world examples from organizations including Lululemon, Google, Oracle, and JPMorgan Chase, this book provides a proven framework for embedding AI into everyday collaboration, accelerating innovation, and future-proofing your organization's competitive advantage. Themes include: AI strategy, AI adoption, workforce transformation, AI governance, enterprise AI, change management

Scaling AI Across Your Organization

From AI Users to Solution Builders

How the rise of AI agents--and other forms of autonomous intelligence--will transform every aspect of how companies create value and compete.Companies have long operated with a basic assumption: intelligence is scarce. Talent is limited, expertise is expensive, and good judgment is hard to scale. But that world is ending.AI agents are bringing a new form of labor into the enterprise--one that can work autonomously, learn continuously, and scale instantly. Their embodied counterparts, from drones to humanoid robots, are doing the same in the physical world. Together, these systems are introducing a new economic reality: cognition is becoming cheap, elastic, and abundant.In Abundant Intelligence, Deloitte's Nitin Mittal and futurist Mike Walsh show what happens when intelligence becomes cheap and widely available. Drawing on inside access to the people leading AI transformations at the world's most powerful companies, they uncover how this shift is challenging every assumption about strategy, productivity, and leadership, and what organizations must do now to stay ahead.As abundance becomes the new normal, the leader's job shifts from collecting intelligence to directing it. Those who learn to harness this expanding workforce of digital labor will unlock new levels of speed, creativity, and advantage. For everyone else, the gap will widen fast.

How Digital Labor Will Rewrite the Rules of Business

Abundant Intelligence

Machine learning has become an essential component of modern business analytics -- driving insights, optimizing operations, and supporting strategic, data-informed decisions. This textbook offers a hands-on and accessible introduction to applying machine learning in business settings using R, with a strong emphasis on the tidy ecosystem. Key packages such as tidyverse, tidymodels, and tidytext provide a cohesive and efficient framework for data analysis, modeling, and communication.Balancing theoretical foundations with applied practice, the book introduces mathematical ideas in a clear, intuitive manner, always anchored in realistic business scenarios. Suitable for the classroom and independent research, readers will gain the confidence and tools to apply the tidy ecosystem effectively, from data preparation to modeling to interpretation, enabling reproducible, interpretable, and impactful analytics in dynamic business environments.Bowei Chen
 is a Professor of Business Analytics and Artificial Intelligence at the Adam Smith Business School, University of Glasgow, UK, and the Founding Programme Director of the MSc in Business Analytics programme. He received his PhD in Computer Science from the University College London. His research interests include business analytics, artificial intelligence, machine learning, and data science applications in management, finance, and the social sciences. He has published in leading academic conferences, journals, and books in these fields, and has undertaken international research collaborations and academic appointments across different institutions.
 Tianyuan Huang
 is a Lecturer of Data Science and Big Data Technologies at the School of Data Science, Zhejiang University of Finance &amp; Economics, China. He earned his PhD from Fudan University and has authored three R programming books in China. His current research mainly focuses on quantitative science studies, and he is also dedicated to leveraging data science to rapidly build domain expertise and advance scientific knowledge discovery. In addition to his publications, he supports the R community by maintaining several CRAN packages, such as akc for automated knowledge classification and tidyfst for efficient tidy data manipulation.

Machine learning has become an essential component of modern business analytics -- driving insights, optimizing operations, and supporting strategic, data-informed decisions. This textbook offers a hands-on and accessible introduction to applying machine learning in business settings using R, with a strong emphasis on the tidy ecosystem. Key packages such as tidyverse, tidymodels, and tidytext provide a cohesive and efficient framework for data analysis, modeling, and communication.Balancing theoretical foundations with applied practice, the book introduces mathematical ideas in a clear, intuitive manner, always anchored in realistic business scenarios. Suitable for the classroom and independent research, readers will gain the confidence and tools to apply the tidy ecosystem effectively, from data preparation to modeling to interpretation, enabling reproducible, interpretable, and impactful analytics in dynamic business environments.

A Tidy Approach

Business Analytics with R

Build a resilient, high-performing organization by integrating agentic AI into strategy, operations, and decision-making. Building an Agentic Organization is a strategic guide for senior technology, AI and business leaders responsible for delivering value from agentic AI while managing its risks. As organizations move toward human and AI collaboration at scale, leaders must balance innovation with governance, adoption, and long-term economic impact. Written by experienced AI executive Geoffrey Schaefer, this book provides a comprehensive framework for designing an agentic organization by examining strategy, governance, and economics. It explores how to define the purpose of agentic AI, align it with business objectives, and create the structures needed to support safe, scalable adoption. Addressing both opportunity and risk, it equips leaders to navigate workforce concerns, reputational exposure, and the evolving role of AI agents in enterprise environments. You'll learn how to:- Define a clear strategy for integrating agentic AI- Establish governance frameworks to manage risk and accountability- Drive workforce adoption and address resistance to AI collaboration- Assess economic value and impact of agentic AI systems- Manage reputational and operational risks from AI agent behaviorFeaturing real-world examples from Leidos, JPMorgan Chase, SY Partners, and OMA, this book provides a practical roadmap for embedding agentic AI into the fabric of your organization while protecting value, trust, and long-term performance. Themes include: agentic AI, AI strategy, AI governance, AI transformation, enterprise AI, risk management

The Strategy, Governance, and Economics of Agentic AI

Building an Agentic Organization

Palgrave Studies in Financial Services Technology

This book provides an integrated treatment of FinTech governance, crypto-asset accounting and regulatory compliance in the digital economy. It explains how blockchain, tokenization and decentralized finance (DeFi) are reshaping financial intermediation, and how these innovations interact with existing reporting frameworks and supervisory architectures. The volume is structured in four parts. The first part introduces the rise of digital finance and tokenized economies, contrasts crypto-markets with traditional finance, and analyses corporate governance challenges in crypto-firms, including lessons from recent market failures. The second part focuses on crypto-assets under IFRS, covering taxonomy (utility, payment and security tokens), recognition and measurement, impairment, revenue recognition for staking and validation, and the accounting treatment of stablecoins and tokenized financial instruments. The third part develops a risk and compliance perspective, examining market, credit, liquidity, operational and governance risks in crypto-markets, the role of on-chain analytics for AML/CFT, and the implications of MiCA and related international guidelines for virtual and crypto-asset service providers. The fourth part addresses audit, policy and systemic issues, including proof-of-reserves, smart contract audits, financial stability concerns, CBDCs and the interoperability between traditional and digital infrastructures. By combining legal, accounting, governance and risk insights, the book offers a rigorous yet accessible reference for academics, regulators, auditors and financial managers who need to understand how to govern, measure and regulate crypto-assets and tokenized finance.Giovanni Scirè 
 is Assistant Professor (RTD-A) in Business Economics at the University of Palermo, Department of Political and Social Sciences. His research focuses on FinTech governance, crypto-asset accounting, regulatory compliance, and performance management in financial and digital ecosystems. He is actively involved in national and international research projects within the PNRR GRInS programme, exploring the intersections between organized crime, risk management, and organizational governance. He has authored scientific articles, book chapters, and conference papers on stakeholder governance, blockchain-based business models, financial reporting, and the regulation of emerging technologies. His work also examines the implications of MiCA, AML/CFT frameworks, and IFRS standards for crypto-asset markets and digital financial institutions. Giovanni has teaching experience in Financial Statement Analysis, Business Administration, and Digital Innovation in Sport and Public Organizations, and collaborates with practitioners, regulators, and public agencies on topics related to governance, compliance, and organizational resilience.

This book provides an integrated treatment of FinTech governance, crypto-asset accounting and regulatory compliance in the digital economy. It explains how blockchain, tokenization and decentralized finance (DeFi) are reshaping financial intermediation, and how these innovations interact with existing reporting frameworks and supervisory architectures. The volume is structured in four parts. The first part introduces the rise of digital finance and tokenized economies, contrasts crypto-markets with traditional finance, and analyses corporate governance challenges in crypto-firms, including lessons from recent market failures. The second part focuses on crypto-assets under IFRS, covering taxonomy (utility, payment and security tokens), recognition and measurement, impairment, revenue recognition for staking and validation, and the accounting treatment of stablecoins and tokenized financial instruments. The third part develops a risk and compliance perspective, examining market, credit, liquidity, operational and governance risks in crypto-markets, the role of on-chain analytics for AML/CFT, and the implications of MiCA and related international guidelines for virtual and crypto-asset service providers. The fourth part addresses audit, policy and systemic issues, including proof-of-reserves, smart contract audits, financial stability concerns, CBDCs and the interoperability between traditional and digital infrastructures. By combining legal, accounting, governance and risk insights, the book offers a rigorous yet accessible reference for academics, regulators, auditors and financial managers who need to understand how to govern, measure and regulate crypto-assets and tokenized finance.

An Internal Control System and Risk Management Perspective in the Digital Economy

FinTech and Crypto-Assets

A BRAND NEW EDITION WITH AN UPDATED FOREWORD THE INTERNATIONAL BESTSELLER | OVER 500,000 COPIES SOLD WORLDWIDE Why do some products capture our attention while others fade into obscurity? What makes us check our phones, open an app, or scroll a feed without even thinking? Is there a repeatable pattern behind how technology hooks us? In Hooked, Nir Eyal reveals the secret psychology behind the world's most engaging products. Introducing the groundbreaking Hook Model - Trigger ? Action ? Variable Reward ? Investment - Eyal uncovers how products from Apple, Twitter, Instagram and Google create lasting user habits and how you can ethically harness these principles to build products people love. Packed with cutting-edge behavioural science, case studies, and practical frameworks, Hooked is both a manual for product designers and a mirror for anyone curious about their own habits. 'Hooked changed my life. It's essential reading for anyone who wants to better understand their actions and habits' Steven Bartlett, Diary of a CEO 'Nir Eyal taught Silicon Valley how to design behaviour - and then reminded us to use that power responsibly; Mark Manson, Solved Podcast 'Our challenges go beyond technology; they stem from the internal discomfort that Nir Eyal's work helps us understand' Ali Abdaal, Deep Dive Podcast 'In Hooked, Nir Eyal shows the fine line between persuasion and coercion - and why ethical design matters more than ever' Jim O'Shaughnessy, Infinite Loops Podcast

How to Build Habit-Forming Products

Hooked

Navigating the Self-Service Revolution With Smart Machines

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