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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

AI and Constitutional Law in Europe

Democracy in the Age of Disinformation

ICISAS 2025 is the premier research conference of Curtin University Dubai, bringing together experts from multiple disciplines to explore how innovation and sustainability can shape the future of business and society.

Driving Sustainable Solutions and Business Value

Innovations in Management, Technology, and Performance

The companies that win with AI won't be the ones that adopt it. They'll be the ones that rebuild around it.
Your old growth playbook is breaking down. AI is collapsing moats, compressing product cycles, and reshaping how customers buy. Meanwhile, your teams are still executing strategies built for a slower, more stable world. Market-Led Growth shows you how to rebuild-fast.
This is not a book of tactics. It's a blueprint for transforming how your company senses shifts in demand, adapts GTM in real time, and scales with the market-not against it. You'll learn how to decentralize decision-making, embed AI into execution, and move capital, people, and priorities at the speed of market signal. If you're serious about building a company that thrives in the AI era-not just survives it-this is your operating manual.

A new operating system for business in the age of AI

Market-Led Growth

Learn more and discover downloadable resources at aiprecipice.com! This book fills a significant gap by providing a leadership guide to balance innovation and safety. With the rapid business transformation underway to leverage artificial intelligence (AI), executives must allocate substantial investments in governance, corporate purpose, and risk management tailored to their organization's strategic goals.The stakes are high, and very few organizations are generating positive returns on their investments.As a result, leaders must reevaluate their strategies, focusing on maximizing benefits while curtailing unnecessary costs. This book emphasizes the importance of carefully integrating humans into AI processes and introduces a robust leadership framework that prioritizes innovation without compromising safety. Diverse industry examples offer rich insights into pathways for striking a balance between advancing AI capabilities and mitigating potential risks.This book equips leaders with the tools to navigate the complexities of AI responsibly. It sheds light on often¿overlooked topics in major AI literature, including in¿depth discussions on strategic scenarios, risks and controls, legal frameworks, and effective measurement systems.Offering a wealth of strategic and operational insights from credible sources, this authoritative resource is indispensable for senior executives aiming to design, develop, and implement successful AI initiatives within their organizations.

An Executive Guide to Balancing AI Innovation and Safety

The AI Precipice

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

"A refreshing, well-crafted treatise on the many possible good things that thinking machines can bring." - Kirkus Reviews A Publishers Weekly, USA Today, LA Times Bestseller An eye-opening discussion on the transformative impact of AI and how to prepare for a new future. In The Next Renaissance: AI and the Expansion of Human Potential, acclaimed AI advisor Zack Kass presents an optimistic and compelling vision of how artificial intelligence will shape our lives. Drawing on historical context, cutting-edge advancements, and firsthand experience, Kass lays out how AI will become a collaborative partner in building a better, more creative, and more compassionate world. Just as the original Renaissance revolutionized art, science, and society, today's AI-driven Renaissance will redefine how we create, innovate, and flourish. Kass leverages his deep industry expertise to explain how this transformative technology will solve previously unimaginable challenges, presenting entirely new possibilities. Inside the book, you'll discover: <ul> <li>Practical strategies to navigate AI's integration into everyday life.</li> <li>Clear guidance on future-proofing your career by emphasizing uniquely-human skill.</li> <li>Insights into how AI opens up entirely new domains of knowledge by solving ambiguous problems.</li> <li>How to overcome the psychological and societal barriers to AI adoption.</li> <li>Concrete examples of AI amplifying human potential by saving time and resources, and sparking creativity.</li> </ul> A must-read for anyone interested in the most powerful technological advancement since the steam engine. The Next Renaissance is here.

AI and the Expansion of Human Potential

The Next Renaissance

The Strategy, Governance, and Economics of Agentic AI

Building an Agentic Organization

Something's changed.Your product's getting copied faster. Buyers are harder to reach. Campaigns cost more and deliver less. The growth engines that used to reliably deliver pipeline and sales are all starting to stall.This isn't a dip. It's a reset. AI is moving faster than most companies can adapt. Market-Led Growth shows you how to rebuild for this new reality, where demand shifts overnight, and the old go-to-market models can't keep up.This isn't a book of hacks. It's a blueprint for running a business that learns faster than the market changes. You'll learn how to spot signals early, test what works, and scale before the window closes. If you're still running the last decade's playbook with diminishing returns, this book will show you what to do instead.

On today's web, performance isn't just a nice-to-have--it's essential. A slow or unstable experience drives users away, while a fast, reliable one builds trust and keeps them engaged. Web Performance Engineering in the Age of AI is a comprehensive, hands-on guide for developers, technical leads, and performance engineers focused on delivering high-impact, user-first web experiences. Written by Addy Osmani, director at Google Cloud AI, this book combines deep technical insight with a strong emphasis on usability and real-world effectiveness. Through case studies, modern optimization techniques, and a user-centered approach, you'll learn how to identify bottlenecks, debug performance issues, and apply improvements that make a measurable difference. Grounded in current browser internals and performance metrics, this book prepares you to design and maintain faster, more resilient websites at scale. <ul> <li>Understand how users perceive speed--and why it matters</li> <li>Evaluate and improve performance using key metrics</li> <li>Optimize for stability, responsiveness, and load time</li> <li>Identify and address the most common performance bottlenecks</li> <li>Apply real-world strategies that lead to lasting results</li> </ul>

Mastering Speed and Quality for Ai-Generated Applications

Web Performance Engineering in the Age of AI

This book introduces the subject of artificial intelligence (AI), its structures, uses, application to the artificial neural network, technology applications, and the advantages and disadvantages of its use, including its potential weaknesses and drawbacks. AI, in its broadest sense, is intelligence exhibited by machines, particularly computer systems. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. Such machines may be called AIs. AI technology is widely used throughout industry, government, and science.Some high-profile applications include advanced web search engines (e.g., Google Search); recommendation systems (used by platforms such as YouTube, Amazon, and Netflix); interacting via human speech (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools (e.g., ChatGPT, Apple Intelligence, and AI art); and superhuman play and analysis in strategy games (e.g., chess and Go). However, many AI applications are not perceived as AI. It would appear that much of specific AI has filtered into general applications, often without being called AI because once something becomes useful and common enough, it is no longer labelled as AI.The growing use of AI in the 21st century is influencing a societal and economic shift towards increased automation, data-driven decision-making, and the integration of AI systems into various economic and commercial sectors and areas of everyday life. Its impact is felt across job markets, healthcare, government, industry, education, propaganda, and disinformation and deception, whether deliberate or otherwise. This raises questions about the long-term effects, ethical implications, and risks of AI, prompting discussions about regulatory policies to ensure the safety and benefits of the technology.

Advantages, Disadvantages, Benefits, and Threats

Artificial Intelligence

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

AI Impacts on Branded Entertainment and Advertising

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