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Gesamtkatalog

Catalogue complet

AI Impacts on Branded Entertainment and
Advertising

AI Impacts on Branded Entertainment and Advertising

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

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

Taylor and Francis Proceedings in Computer Science and Engineering

This compilation of papers captures the essence of the International Conference on Smart Systems for Sustainable Development using Advanced Computational Techniques (ICSSA 2025). It provides a comprehensive exploration of how next-generation computing drives ecological and social resilience and highlights the pivotal role of intelligent automation and data-driven strategies in solving complex global challenges.It delves into the integration of Artificial Intelligence (AI), Internet of Things (IoT), and high-performance computing to create "green" technological ecosystems. This book covers a broad spectrum of research, including smart grid management, precision agriculture, carbon footprint optimization through machine learning, and the development of circular economy models via blockchain. By synthesizing theoretical frameworks with real-world case studies, the contributions illustrate how advanced algorithms can minimize resource waste while maximizing industrial efficiency. Together, these papers offer a roadmap for sustainable digital transformation across energy, healthcare, and urban planning sectors by emphasizing the shift toward "Cognitive Sustainability", where systems do not just automate tasks but actively learn to balance human needs with environmental constraints.This book is an essential resource for academic researchers, post-graduate students, and industry practitioners specializing in computer science and environmental engineering. It also serves policymakers and urban planners seeking data-backed strategies to implement sustainable technologies within smart city infrastructures and corporate ESG frameworks.

Bridging Sustainability and Computational Intelligence

Next-Generation Smart Systems

Automating Government: How AI Will Revolutionise Public Services is a timely and authoritative guide for political leaders, senior managers, and public officials confronting the challenges and opportunities of artificial intelligence. Through dozens of global case studies and clear analysis, it explores how AI can transform public services, such as predictive healthcare, automated social services, and real-time transport systems, leading to improved outcomes and lower costs.While the potential is considerable, the implications are far from straightforward. The book addresses the following critical questions: What will happen to jobs? Can we trust machines to make decisions about people's lives? Will AI reduce inequality or entrench it further?Rich in practical insight and grounded in real-world examples, Automating Government sets out a roadmap for responsible, effective AI adoption in the public sector. It challenges readers to see AI not simply as a tool for efficiency but as a means to build a more capable, inclusive and accountable state fit for the demands of the twenty-first century.

How AI Will Revolutionise Public Services

Automating Government

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

Neither hope nor denial are strategies for managing AI risk.AI adoption is accelerating faster than any previous technological shift. The opportunities for creating competitive advantage are huge - but so are the risks of new, faster routes to reputational damage.GuardrAIls bridges the gap between innovation and reputation management by providing actionable, non-negotiable guardrails for ethical AI together with a framework for managing the Seven Pillars of AI Reputational Risk. With incisive case studies from companies such as Air Canada, Coca-Cola and Google Photos, together with concrete decision frameworks, crisis playbooks and a pragmatic 90-day action plan, it enables leaders to adopt AI aggressively but responsibly, and turn potential crises into competitive advantage.Discover how to put in place effective AI governance, not as a technical or legal exercise but as a critical marketing and brand-protection discipline, so that you can actively maintain brand authenticity and stakeholder trust as you chart the path into the future.

How to embrace AI in your business without damaging your brand

Guardrails

This book explores how technology today shapes every aspect of human life, from communication and commerce to governance and justice. It invites readers to reimagine how legal and policy frameworks can be reshaped to safeguard rights, foster innovation, and ensure justice in a rapidly evolving digital world.

Bridging Policy, Innovation, and Rights

Global Dialogues on Law and Technology

What is the role of the library in an increasingly complex information environment filled with and redesigned for artificial intelligence? Hope in the Library presents a compelling case for the continued relevance of libraries in an age increasingly shaped by artificial intelligence. Michael J. Paulus, Jr., shows how libraries, as human-centered and human-scaled institutions, have enduring roles as archives for reflection and understanding, sites of imagination and hope, and catalysts for human agency. This book argues that, by providing an essential counterbalance to impersonal and automated systems, libraries are essential for not only surviving but thriving in our emerging information environment. Hope in the Library is structured as a series of essays organized by explorations of the library in the past, in imagined futures, and in our digitally-enhanced present. Firsthand narrative and archaeological history are interspersed with literary meditations from writers including Mary Shelley, Ursula K. Le Guin, and Jorge Luis Borges. The book can be read a few different ways: from beginning to end; following topical pathways suggested in the final section; or in any other order chosen by the reader. Each essay and section, like a book or section of a library, may be read independently. Informed by over two decades of leading and studying libraries, these essays include the author's professional as well as personal reflections and encourage a more radical reframing of how AI may be integrated into libraries and society to help create a better future.

How Libraries Can Help Shape Our Future with Artificial Intelligence

Hope in the Library

Toward a deeper understanding of minds, whether natural or artificial, and of how they are studied and built across AI, AGI, and cognitive science. Minds are functional entities that enable intelligent behavior. In On Minds, Paul Rosenbloom offers reflections and perspectives on the study of minds arising from a multi-decade career focused largely on cognitive architectures—hypotheses concerning the fixed structures and processes that yield a mind, whether natural or artificial. Cognitive architectures must be integrative in accommodating the full range of capabilities required of a mind. They must also be general, in applying across many, if not all, problems and domains. This breadth of investigation, across a sequence of three such architectures—XAPS, Soar, and Sigma—and over many years, has inspired a set of reflections on both cognitive architectures and three core disciplines within which such work occurs—artificial intelligence (AI), artificial general intelligence (AGI), and cognitive science. The book’s reflections are of three types. The first explores four concepts critical to understanding minds—architectures, symbols, intelligence, and theories—to provide new perspectives and insights on them. The second rethinks the structure of the space of technologies that underlies work on minds, yielding multidimensional maps that clarify their similarities and differences plus detailed insights into the tradeoffs that exist across both individual technologies and integrated systems—whether symbolic, neural, or hybrid—built from them. The third traces the author’s decades of work on architectures—including cognitive architectures, the Common Model of Cognition, and the nature and structure of computing as a great scientific domain—interwoven with personal reflections and anecdotes.

Toward a deeper understanding of minds, whether natural or artificial, and of how they are studied and built across AI, AGI, and cognitive science. Minds are functional entities that enable intelligent behavior. In On Minds, Paul Rosenbloom offers reflections and perspectives on the study of minds arising from a multi-decade career focused largely on cognitive architectures—hypotheses concerning the fixed structures and processes that yield a mind, whether natural or artificial. Cognitive architectures must be integrative in accommodating the full range of capabilities required of a mind. They must also be general, in applying across many, if not all, problems and domains. This breadth of investigation, across a sequence of three such architectures—XAPS, Soar, and Sigma—and over many years, has inspired a set of reflections on both cognitive architectures and three core disciplines within which such work occurs—artificial intelligence (AI), artificial general intelligence (AGI), and cognitive science. The book’s reflections are of three types. The first explores four concepts critical to understanding minds—architectures, symbols, intelligence, and theories—to provide new perspectives and insights on them. The second rethinks the structure of the space of technologies that underlies work on minds, yielding multidimensional maps that clarify their similarities and differences plus detailed insights into the tradeoffs that exist across both individual technologies and integrated systems—whether symbolic, neural, or hybrid—built from them. The third traces the author’s decades of work on architectures—including cognitive architectures, the Common Model of Cognition, and the nature and structure of computing as a great scientific domain—interwoven with personal reflections and anecdotes.

Reflections of a Cognitive Architect

On Minds

Statistics, CAE, and AI Applications

Injection Molding Process Modelling

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

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

AI Impacts on Branded Entertainment and Advertising

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