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Digital Transformation and Sustainable
Innovation in Food Supply Chains

Digital Transformation and Sustainable Innovation in Food Supply Chains

Taylor and Francis Proceedings in Computer Science and Engineering

AI and Sustainable Imperative

Reimagining Tomorrow

Innovations in Intelligent Internet of Everything IoE

Biomedical Applications of AI and IoMT in Smart Healthcare

This book offers an alternate trajectory for EU copyright law. Building on cultural norms in creative communities to reuse, recreate and share, the book proposes a more holistic approach to reconcile conflicting copyright interests. Drawing upon Niklas Luhmann's system theory, John Dewey's theory of art and feminist data theory, it advocates access to, and care within, creative communicative spaces, such as social media platforms or artificial intelligence (AI) data infrastructures, to safeguard creativity and cultural production online. Following a comprehensive assessment of current EU copyright law and related regulation, it proposes a rebuttable presumption of artistic communication to account for the nature of communication between authors, users and the public that safeguards creative reuse. The book isolates the question of remuneration, particularly in AI context, as one of collective socio-cultural value to address wider harms through a cultural commons existing on the border of the EU copyright system. Reflecting on traditional copyright concepts such as authorship, consent and remuneration alongside more novel legal structures like a right of collective informational self-determination, Reshaping EU Copyright Law to Support Creativity Online provides a foundation to reshape how the EU copyright system and its regulatory neighbours adequately respond to new forms of creativity, dissemination, and its use.

Offers an alternate trajectory for EU copyright law to adequately respond to new forms of creativity

Creative Reuse

Reshaping EU Copyright Law to Support Creativity Online

A step-by-step guide to AI-native analytics systems for BI practitioners Building Business Intelligence Apps with AI provides a step-by-step guide for data analysts, data engineers, and BI developers who need to integrate AI into their analytics workflows. Written by Ryan Dolley, a data industry veteran with fifteen years of experience across BI development, consulting, and data vendor roles, this book shows how to partner with AI to deliver better data models, dashboards, and business queries while building AI-native experiences for end users. The book addresses data foundations, outsourcing repetitive tasks to AI, and scaling autonomous analytics systems that maintain accuracy and data governance. Readers learn practical steps for increasing individual and team effectiveness using AI while avoiding common pitfalls such as hallucination, data inaccuracy, and user abandonment. It delivers operating models that data departments need, covering everything from data blending and dashboard creation to personalization and responsiveness. Readers will also find: <ul> <li>Practical techniques for partnering with LLMs to accelerate data modeling, querying, and dashboard development across BI workflows</li> <li>Strategies to outsource repetitive analytics tasks to AI while maintaining rigorous data governance and accuracy standards</li> <li>Operating models for individuals and data departments to scale AI-native analytics systems that end users adopt</li> <li>Methods for building autonomous, personalized analytics experiences that address user expectations for speed and responsiveness</li> <li>Guidance on avoiding AI pitfalls including hallucination, data inaccuracy, and user abandonment in production analytics environments</li> </ul> Data analysts, data engineers, BI developers, and their managers will find in this book the specific skills and operating models needed to integrate AI into daily analytics work. It equips practitioners to build accurate, autonomous analytics systems while strengthening data governance and accelerating delivery across their teams.

Building Business Intelligence Apps with AI

Dieses Buch blickt auf die Entwicklung der Blockchain-Technologie in den letzten zehn Jahren – von ihrer ersten Konzeption bis zu ihrem aktuellen Status als Katalysator für transformative Veränderungen in zahlreichen Branchen.Renommierte Wissenschaftler und Branchenexperten legen fundierte Analysen und Fallstudien dar und erläutern die Mechanismen, durch die die Blockchain-Technologie Finanzdienstleistungen, Lieferketten und die öffentliche Verwaltung verändert hat. Herausforderungen und Chancen, die sich aus der Übertragung der Blockchain-Technologie von der Theorie in die Praxis ergeben, werden beleuchtet. Sie erhalten tiefe Einblicke in die Feinheiten dezentraler Systeme, inklusive Blick auf das aufstrebende Feld des dezentralen Finanzwesens (DeFi), und zu rechtlichen Aspekten. Mit einem kritischen Blick auf die technologischen und regulatorischen Rahmenbedingungen werden hier nicht nur vergangene Errungenschaften reflektiert, sondern auch strategische Richtungen für die zukünftige Forschung und Entwicklung innerhalb des Blockchain-Ökosystems skizziert.Durch das Zusammenkommen der verschiedensten Perspektiven von Fachleuten – von Forschern und Praktikern bis hin zu politischen Entscheidungsträgern – wird eine sinnvolle Verbindung geschaffen, um Kooperationsinitiativen zu erkunden, die das nächste Jahrzehnt der Blockchain-Innovation prägen könnten.Der Inhalt<ul><li>Tokenisierung und programmierbare Wertsysteme</li><li>Blockchain als gesellschaftliche und technologische Innovation</li><li>Digitalisierung und Zukunft der Justiz</li><li>Programmierbares Geld und neue Finanzinfrastrukturen</li><li>Klimabezogene Rechtsstreitigkeiten und regulatorische Entwicklungen</li><li>NFTs, digitale Vermögenswerte und internationale Rechtsfragen</li><li>Zehn Jahre Blockchain-Innovation im Finanzsektor</li><li>Tokenisierte Besteuerung und digitale Fiskalpolitik</li><li>Künstliche Intelligenz und datengetriebene Fördermittelvergabe in Web3</li><li>Dezentrale KI-Infrastrukturen als öffentliches Gut</li><li>DAO-Governance und Interoperabilität im Metaverse</li><li>Das Internet der Gebäude und datengetriebene Immobilienökosysteme</li></ul>Die HerausgeberinProf. Dr.-Ing. Katarina Krüger
 lehrt seit 2016 Blockchain Use Case Development an der HTW Berlin, organisiert die jährliche Blockchain@HTW Konferenz, um Studenten, Wirtschaft, Wissenschaft und Government eine Plattform des Austausch zu geben. Sie ist Founder des Start-ups SimLick U.G. und Advisor einiger Blockchain-basierter Startups. Ferner ist sie Mitglied im europäischen Blockchain-Verband INATBA in der Working Group Education. Im Zuge ihrer Forschungsaktivitäten beschäftigt sie sich in einem internationalen Team mit der Fragestellung, wie moderne Technologien dazu beitragen können, dem Klimawandel durch den Einsatz von u.a. der Blockchain-Technologie den Schub zu geben, die Ziele des Pariser Abkommens einhalten zu können. Insbesondere werden hierbei Token-Modelle auf ihre Einsatzfähigkeit in diesem Zusammenhang überprüft.

Dieses Buch blickt auf die Entwicklung der Blockchain-Technologie in den letzten zehn Jahren – von ihrer ersten Konzeption bis zu ihrem aktuellen Status als Katalysator für transformative Veränderungen in zahlreichen Branchen.Renommierte Wissenschaftler und Branchenexperten legen fundierte Analysen und Fallstudien dar und erläutern die Mechanismen, durch die die Blockchain-Technologie Finanzdienstleistungen, Lieferketten und die öffentliche Verwaltung verändert hat. Herausforderungen und Chancen, die sich aus der Übertragung der Blockchain-Technologie von der Theorie in die Praxis ergeben, werden beleuchtet. Sie erhalten tiefe Einblicke in die Feinheiten dezentraler Systeme, inklusive Blick auf das aufstrebende Feld des dezentralen Finanzwesens (DeFi), und zu rechtlichen Aspekten. Mit einem kritischen Blick auf die technologischen und regulatorischen Rahmenbedingungen werden hier nicht nur vergangene Errungenschaften reflektiert, sondern auch strategische Richtungen für die zukünftige Forschung und Entwicklung innerhalb des Blockchain-Ökosystems skizziert.Durch das Zusammenkommen der verschiedensten Perspektiven von Fachleuten – von Forschern und Praktikern bis hin zu politischen Entscheidungsträgern – wird eine sinnvolle Verbindung geschaffen, um Kooperationsinitiativen zu erkunden, die das nächste Jahrzehnt der Blockchain-Innovation prägen könnten.&nbsp;

Technologische Fortschritte, Herausforderungen und Schnittstellen zu KI und Cybersicherheit

Blockchain-Evolution

The book explores how emerging digital technologies can address the interconnected challenges of food security, climate change, and sustainability. It delves into AI-driven predictive models for crop yield estimation, IoT-enabled soil and water monitoring, and renewable energy-powered smart irrigation systems. The book highlights practical applications of big data, precision farming, and cloud platforms to enhance productivity, reduce ecological footprints, and improve resilience to climate change. With global case studies and interdisciplinary insights, it serves as a resource for researchers, students, farmers, agribusiness leaders, and policymakers, offering actionable strategies for transforming agriculture into a climate-resilient and resource-efficient sector.

AI, Technology, and Sustainability

Smart Solutions for a Changing Climate

The Fight for the Future of Work

We Are Not Machines

Crypto Degenerates and the Rise of the Global Casino Economy

The American Meme

Banking, Money and International Finance

Human-Centred Intelligent Finance

AI, Fintech, and the Future of Global Financial Systems

Springer Series in Supply Chain Management

This book analyzes the transformative potential of blockchain technology for supply chains operating under uncertainty, offering actionable frameworks and strategies for sustainable, transparent, and data-driven business networks.It analyzes how blockchain technology can optimize supply chains in uncertain environments. It explores strategic implementations across industries such as oil and gas, renewables, and omni-channel retail, addressing challenges like efficiency, transparency, security, and environmental impact. The book introduces frameworks for component vs. product tracing, two-step authentication models, integrated network design, and traffic uncertainty modeling. Each chapter presents concepotual models and decision-making tools tailored for practitioners and researchers. It examines the use of smart contracts in blockchain-enabled supply chains, showcasing their potential to automate compliance, lower transaction costs, and build trust, while addressing key challenges such as legal enforceability, code vulnerabilities, and cross-jurisdictional governance. Furthermore, it explores synergies between blockchain and complementary technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT), demonstrating how integrated systems can enable real-time tracking, predictive analytics, and autonomous decision-making in complex supply networks. It critically addresses adoption barriers and evaluates sustainability trade-offs, suggesting that these may incentivize green blockchain innovations to mitigate energy consumption concerns. By bridging theoretical foundations with real-world case studies, this book provides actionable strategies for adopting blockchain in complex, dynamic environments.This book is structured to take the reader on a journey from the fundamental concepts of blockchain in supply chains, through its practical applications and optimizations in various industries, and finally to the specific challenges and innovative solutions for implementation.

This book analyzes the transformative potential of blockchain technology for supply chains operating under uncertainty, offering actionable frameworks and strategies for sustainable, transparent, and data-driven business networks.It analyzes how blockchain technology can optimize supply chains in uncertain environments. It explores strategic implementations across industries such as oil and gas, renewables, and omni-channel retail, addressing challenges like efficiency, transparency, security, and environmental impact. The book introduces frameworks for component vs. product tracing, two-step authentication models, integrated network design, and traffic uncertainty modeling. Each chapter presents concepotual models and decision-making tools tailored for practitioners and researchers. It examines the use of smart contracts in blockchain-enabled supply chains, showcasing their potential to automate compliance, lower transaction costs, and build trust, while addressing key challenges such as legal enforceability, code vulnerabilities, and cross-jurisdictional governance. Furthermore, it explores synergies between blockchain and complementary technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT), demonstrating how integrated systems can enable real-time tracking, predictive analytics, and autonomous decision-making in complex supply networks. It critically addresses adoption barriers and evaluates sustainability trade-offs, suggesting that these may incentivize green blockchain innovations to mitigate energy consumption concerns
 .
 By bridging theoretical foundations with real-world case studies, this book provides actionable strategies for adopting blockchain in complex, dynamic environments. 
 This book is structured to take the reader on a journey from the fundamental concepts of blockchain in supply chains, through its practical applications and optimizations in various industries, and finally to the specific challenges and innovative solutions for implementation.

Strategies, Barriers, and Innovations in Sustainable and Secure Network Design

Blockchain-Driven Supply Chain Management Transformation

The next choice we make is the last chance we have. Ten thousand years ago, wild cats wandered into a human grain store. Over generations, gorged with a plentiful supply of prey, they traded their raw instincts for a life of dependency as our household pets. Today, domestic cats are more comfortable than ever but they can no longer hunt effectively. Their brains are 16% smaller than their distant ancestors. They are domesticated. AI is turning the modern world into a cognitive grain store. And we are the cats. In this groundbreaking and vital book, leading AI researcher and campaigner James F. Ryan charts our relationship with transformative technologies - from writing to AI - and explains why this time it's different. Large language models like ChatGPT are not just tools, but are remaking our brains and eroding our ability to think. From the workplace and our relationships to our schools and universities, we face an urgent battle to safeguard human thought. The Domestication sets out the evidence, the imposing challenge we face, and how we respond.

A Story of AI and the Human Mind

The Domestication

Research in Creative Writing

Writing Human in the Age of AI

Digital Transformation and Sustainable Innovation in Food Supply Chains

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