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Schriften zum Medien- und Informationsrecht

Marta Duque Lizarralde

Business-to-Business Data Sharing for Artificial Intelligence Development

B2B marketers face unique challenges, including non-linear buyer journeys, multiple decision-makers, and long sales cycles, alongside the (mis)perception of their work being boring and lacking in creativity. Written by a seasoned industry practitioner, The Future of B2B Marketing: Harnessing AI to Unlock Smarter Decisions offers original insights and guidance into the evolving B2B landscape, showing how artificial intelligence can be applied at every stage of the buying journey - from capturing awareness from the right audience and generating quality engagement through to optimizing measurement and performance. It serves to both guide experienced professionals while also supporting those new to the industry, offering reminders, confidence-building, and practical approaches for navigating the everyday complexities of B2B marketing. Combining research, frameworks, case studies, and career-focused advice, this book helps marketers embrace new technologies and learn how to put AI into practice, using their own judgement and expertise to act effectively - and ultimately make smarter decisions.

Harnessing AI to unlock smarter decisions

The Future of B2B Marketing

Routledge Advances in Management and Business Studies

This book covers the relationship between artificial intelligence and sustainability goals, bringing together cutting-edge research and insights from business researchers and practitioners.Through real-world case studies from a variety of industries and regions around the world, the book examines how AI can optimise processes, reduce carbon footprints, and support climate action. It also delves into the ethical considerations of deploying AI in an environmentally conscious manner, ensuring that AI's benefits are realised without compromising the planet's well-being.A valuable resource for academics in the fields of AI, sustainability, and business practices. The book will also interest university administrators, industry professionals, and policymakers seeking to drive positive, sustainable change in their respective fields.

Strategies for Modern Businesses

AI-Powered Sustainability

Künstliche Intelligenz ist die neue Elektrizität. Sie verändert den Tourismus nicht nur, sie schreibt die Spielregeln neu.
Doch während täglich neue Tools und Buzzwords entstehen, wächst die Unsicherheit: Wo anfangen? Was ist Hype, was ist strategische Notwendigkeit? Und wie nutzen wir diese mächtige Technologie, ohne das Wichtigste zu verlieren - die menschliche Verbindung zum Gast?
Prof. DDr. Roman Egger, einer der führenden Experten auf diesem Gebiet, liefert den längst überfälligen Kompass für diese neue Ära. Verständlich, fundiert und konsequent auf die Praxis ausgerichtet, schlägt dieses Buch die entscheidende Brücke zwischen strategischer Weitsicht und konkreter Anwendbarkeit. Es ist kein kurzlebiges IT-Handbuch, sondern ein strategischer Wegweiser für die Gestalter von morgen.
Dieses Buch führt Sie sicher durch die Komplexität der neuen Technologien und erklärt die Funktionsweise von maschinellem Lernen und generativer KI auf eine Weise, die Entscheider befähigt, ohne sie mit technischem Jargon zu überfordern. Der Fokus liegt dabei konsequent auf dem Wesentlichen: Statt kurzlebigen Trends nachzujagen, lernen Sie, eine klare Haltung zu entwickeln und KI sinnvoll in Ihre Unternehmensziele zu integrieren - vom Marketing über den Service bis hin zur Zukunft der Arbeit.
Dieses Buch ist mehr als eine Anleitung. Es ist ein Plädoyer für einen mutigen, verantwortungsvollen und menschenzentrierten Tourismus im KI-Zeitalter. Für alle, die die Zukunft nicht nur verwalten, sondern aktiv gestalten wollen.

Ein strategischer Wegweiser für den Tourismus

Die transformative Kraft der Künstlichen Intelligenz

Industrialized Construction in the Age of AI and Robotics explores the transformative convergence of artificial intelligence, robotics, and modern construction methods. This comprehensive textbook reveals how cutting-edge technologies are reshaping the construction industry, offering unprecedented improvements in efficiency, quality, and sustainability.From fundamental concepts to practical applications, the book is divided into three sections. Part One establishes the foundational principles of industrialized construction and introduces the revolutionary potential of AI and robotics. Part Two delves deep into six critical operational areas: AI-driven design systems, agile production processes, intelligent supply chain management, automated on-site assembly, predictive maintenance, and smart work packaging. The final section examines current challenges, from technical and financial constraints to regulatory considerations, before exploring emerging trends and future innovations. Each chapter features detailed case studies and practical examples that bridge theory and real-world implementation.Written for a diverse audience, this essential resource serves as both an academic textbook and a professional reference. Students in Civil Engineering, Industrial Engineering, Construction Engineering and Management, and AI &amp; Robotics programs will find it invaluable for understanding the intersection of these disciplines. Industry practitioners, including construction managers, project engineers, and technology integrators, will gain practical insights into implementing AI and robotics solutions. Whether you're preparing for a career in modern construction, leading technological transformation in your organization, or conducting advanced research in the field, this book provides the interdisciplinary knowledge needed to succeed in construction's AI-driven future.

Industrialized Construction in the Age of AI and Robotics

Routledge Advances in Regional Economics, Science and Policy

The smart city is not merely a set of digital infrastructures, but a complex ecosystem in which technological networks, human capital, and urban communities intertwine. This volume explores the smart city as a relational space, a place where innovation, creativity, and resilience redefine urban development.Through a critical analysis of international models and European policies, the book highlights the opportunities and challenges associated with big data, artificial intelligence, and the Internet of Things, while questioning the boundaries between efficiency, inclusion, and citizenship rights. The text also draws on theoretical perspectives that capture the enduring appeal of the city as a laboratory of creativity, coexistence, and imagination. What emerges is a new paradigm of a generative and resilient smart city: one that can attract talent and diversity, transform fragilities into resources, and build new forms of environmental sustainability and social cohesion. The book combines solid theoretical and critical foundations with practical methodologies and real-world case studies that support planners in designing smart cities. Readers will gain an understanding of the key features of smart cities, the evolution of related concepts and design methodologies, as well as the tools required to define new types of services and functions.Offering a European and humanistic perspective on the urban future, the book is intended for a diverse readership including scholars, public administrators, planners, and citizens interested in understanding the challenges and opportunities of the city to come.

Innovation, Creativity and Urban Sustainability

Resilient and Generative Smart Cities

Cut through the hype. Master the basics. Transform your work

How to AI

Lecture Notes in Operations Research

Proceedings of the International Conference on Business Analytics in Practice (ICBAP 2025), Piraeus, Greece

Advanced Data Analytics, Machine Learning and AI in Business

Precarious Futures
 &nbsp;explores the evolving and emerging relationship between crime and technology in an increasingly complex and interconnected world, along with its implications for new perceptions of crime and deviance. It evaluates the rise of the World Wide Web and the model of cybercrime, questions whether existing criminological thought offers relevance and efficacy in current circumstances, conditions and future predictions, and revisits the concept of Relative Deprivation and&nbsp;the underpinning social psychological and socio-political foundations of it. It argues that&nbsp;Relative Deprivation&nbsp;allied to post-industrial precarity provides a central platform for understanding crime and deviance in a hyper-connected and hyper-commercial neoliberal world.&nbsp;The book develops to explore current criminological and security conceptions of artificial intelligence, big data, crime and social control, as well as hacktivism, and how opportunities for crime have become ‘democratised’ and expanded through the Web. Drawing&nbsp;on empirical data, theoretical narratives and a review of the state of crime now and in a speculative near future, Hamerton and Webber discuss some potential directions for a new transdisciplinary critical criminology.&nbsp;
 Precarious Futures
 &nbsp;speaks to&nbsp;criminologists, sociologists and social theory scholars and students, as well as academics and professionals in associated technological fields such as cyber-security, computer science and web science.
 Christopher Hamerton
 &nbsp;is&nbsp;Deputy Director of the Institute of Criminal Justice Research at the&nbsp;University of Southampton, UK.
 Craig Webber
 &nbsp;is&nbsp;Head of the Department of Sociology, Social Policy and Criminology at the&nbsp;University of Southampton, UK.

Precarious Futures
 &nbsp;explores the evolving and emerging relationship between crime and technology in an increasingly complex and interconnected world, along with its implications for new perceptions of crime and deviance. It evaluates the rise of the World Wide Web and the model of cybercrime, questions whether existing criminological thought offers relevance and efficacy in current circumstances, conditions and future predictions, and revisits the concept of Relative Deprivation and&nbsp;the underpinning social psychological and socio-political foundations of it. It argues that&nbsp;Relative Deprivation&nbsp;allied to post-industrial precarity provides a central platform for understanding crime and deviance in a hyper-connected and hyper-commercial neoliberal world.&nbsp;The book develops to explore current criminological and security conceptions of artificial intelligence, big data, crime and social control, as well as hacktivism, and how opportunities for crime have become‘democratised’ and expanded through the Web. Drawing&nbsp;on empirical data, theoretical narratives and a review of the state of crime now and in a speculative near future, Hamerton and Webber discuss some potential directions for a new transdisciplinary critical criminology.&nbsp;
 Precarious Futures
 &nbsp;speaks to&nbsp;criminologists, sociologists and social theory scholars and students, as well as academics and professionals in associated technological fields such as cyber-security, computer science and web science.

Crime, Technology and the Web

Precarious Futures

Work is changing for everyone, everywhere. Standing still isn't an option. Ryan Roslansky and Aneesh Raman, CEO and Chief Economic Opportunity Officer at LinkedIn, show you how to take control of this moment with clarity and confidence. The future of work is not a distant horizon. It is being built right now. While some of us are experimenting and adapting with AI, most of us are feeling anxious and uncertain, navigating rapid change with outdated playbooks. We're relying on old career advice that assumes the tasks you do at work are static, that the skills you learned in school last decades, and that success comes from moving up a predictable ladder. That's the old world of work, and it's on the way out.Open to Work offers a new path forward. Backed by real-time insights from over a billion professionals on LinkedIn, it is a clear-eyed view of what's actually changing, what skills you really need, and how to stay ahead at work as AI reshapes every aspect of work.You'll meet early movers like Neil, who used AI to get better at his job; Jonetta, who used AI to get a new job; and Taj, who used AI to build a business.You’ll also get expert perspectives across the future of work and careers, helping you discover what will make you competitive in ways no machine can replace. You'll learn how to: <ul><li>Assess which parts of your job to delegate to AI, and which to keep for yourself</li><li>Build the core human capabilities that will carry you through any technological shift</li><li>Take action, including with a 30-60-90 day plan</li></ul> Both a roadmap and a rallying cry, Open to Work delivers an urgent truth: change is coming. The only question is whether you harness it or let it overtake you.

How to Get Ahead in the Age of AI

Open to Work

An exciting introduction to agency life, this insider's view of professional PR firms equips you to create a successful career in the industry. Authors Regina Luttrell, Luke W. Capizzo, and Adrienne A. Wallace highlight real-world examples from the field and engage with current practitioners to help you enter the agency world and bridge the critical gap between college and professional life. The book introduces many of the sub-fields of integrated communication practice, including traditional public relations and corporate communication, marketing, social media, creative production (print, digital, video, audio), web and user experience design, and search engine optimization (SEO). The second edition integrates current industry trends and technological advancements that have transformed agency life and public relations strategies. Key updates include -The impact of remote and hybrid work structures on agency culture and client communication -The rise of AI and automation in content creation and project management -The importance of inclusivity, diversity, equity, and accessibility in both internal operations and client work. -New sections within the chapters highlight the increasing role of brand activism and purpose-driven campaigns, as well as the expanding consultancy role of agencies Key Features: -Real-world examples from the field ensure that the practical concepts presented become concrete for you. -Interviews with industry professionals from around the world provide snapshots of the agency experience. -PESO model show you how to adapt your campaigns to meet the needs of today's integrated agency environment. - Agency Essentials student-cantered callouts that bring the realities of PR agency life into your learning with actionable tools-including quick wins, onboarding checklists, real-world scenarios, client email starters, and pitch power phrases

The PR Agency Handbook

Revolution of AI and Machine Learning for Design and Automation

Wiley Finance

The complete and practical guide to one of the hottest topics in quantitative finance Deep learning, that is, the use of deep neural networks, is now one of the hottest topics amongst quantitative analysts. Deep Learning in Quantitative Finance provides a comprehensive treatment of deep learning and describes a wide range of applications in mainstream quantitative finance. Inside, you'll find over ten chapters which apply deep learning to multiple use cases across quantitative finance. You'll also gain access to a companion site containing a set of Jupyter notebooks, developed by the author, that use Python to illustrate the examples in the text. Readers will be able to work through these examples directly. This book is a complete resource on how deep learning is used in quantitative finance applications. It introduces the basics of neural networks, including feedforward networks, optimization, and training, before proceeding to cover more advanced topics. You'll also learn about the most important software frameworks. The book then proceeds to cover the very latest deep learning research in quantitative finance, including approximating derivative values, volatility models, credit curve mapping, generating realistic market data, and hedging. The book concludes with a look at the potential for quantum deep learning and the broader implications deep learning has for quantitative finance and quantitative analysts. <ul> <li>Covers the basics of deep learning and neural networks, including feedforward networks, optimization and training, and regularization techniques</li> <li>Offers an understanding of more advanced topics like CNNs, RNNs, autoencoders, generative models including GANs and VAEs, and deep reinforcement learning</li> <li>Demonstrates deep learning application in quantitative finance through case studies and hands-on applications via the companion website</li> <li>Introduces the most important software frameworks for applying deep learning within finance</li></ul> This book is perfect for anyone engaged with quantitative finance who wants to get involved in a subject that is clearly going to be hugely influential for the future of finance.

Deep Learning in Quantitative Finance

Business-to-Business Data Sharing for Artificial Intelligence Development

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