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The Future of Business and Society

Integrating Sustainable Technologies with Data-Driven Solutions

Creative Reuse

Reshaping EU Copyright Law to Support Creativity Online

Your AI isn't broken. Your playbook is.

AI project failures don't come from bad models. They come from old habits. Lock AI down like software and you kill its value. Let it roam and it drifts. Mistakes ship and scale. WISER is the field manual for teams operationalizing AI.

Written by Robb Wilson and Anthony Franco, practitioners with twenty years of shared experience building systems for over half the Fortune 100, The WISER Method delivers a systematic approach to AI implementation built on AI First Principles, an open-source framework of twelve constraints governing how AI systems succeed and fail.

Inside: a full-length narrative case study following one company from discovery through deployment. Twenty-six Plays with objectives, inputs, steps, success criteria, adaptations, and pitfalls. Over twenty downloadable templates. Advanced frameworks for risk, autonomy, measurement, and knowing when to rebuild.

For leaders: roughly 80 pages of strategic foundation to sponsor well and recognize when things go wrong. For practitioners: the entire book is your workbook.

Five canons. One method. Built by people who ship.

Build What Matters with AI First Principles

WISER Method Master Playbook

Global Disparities, Colonial Legacies, External Interventions and Extreme Climate

The End of Modern Economic Growth

edition suhrkamp

Was kommt danach?

Liberale Demokratie ohne Zukunft

Gen AI is changing the way you work. So why is your team stuck in neutral?The adoption of generative AI is now widespread, yet it is still typically used on an individual basis: one person, one screen, one task. Meanwhile, the most important work in organizations happens in teams. The transformative potential of enhancing teamwork with gen AI is too big to ignore; fortunately, you can make AI-enabled collaboration real right now and see immediate results.The HBR Guide to Generative AI for Teams is packed with practical tips, prompts, and case studies to elevate team-based work. Whether you're a team leader, manage AI transformation initiatives, or facilitate group work of any kind, you'll learn how to: <ul><li>Bring gen AI into any meeting, workshop, or session</li><li>Run better brainstorms, business reviews, and retrospectives</li><li>Leverage gen AI as a team member, not just a notetaker</li><li>Use your team's collective judgment to avoid pitfalls</li><li>Reach team outcomes that were impossible before gen AI</li><li>Establish a new "humans+AI" way of working in teams</li></ul>Arm yourself with the advice you need to succeed on the job, with the most trusted brand in business. Packed with how-to essentials from leading experts, the HBR Guides provide smart answers to your most pressing work challenges.

HBR Guide to Generative AI for Teams

Synthetic Media, Deepfakes, and Cyber Deception: Attacks, Analysis, and Defenses introduces the only analytical Synthetic Media Analysis Framework (SMAF) to help describe cyber threats and help security professionals anticipate and analyze attacks. This framework encompasses seven dimensions: Credibility, Control, Medium, Interactivity, Familiarity, Intended Target, and Evocation. Synthetic media is a broad term that encompasses the artificial manipulation, modification, and production of information, covering a spectrum from audio-video deepfakes to text-based chatbots. Synthetic media provides cyber attackers and scammers with a game-changing advantage over traditional ROSE attacks because they have the potential to convincingly impersonate close associates through text, imagery, voice, and video. This burgeoning threat has yet to be meaningfully addressed through any written treatment on the topic. The book is co-authored by three cyber influence and deception experts who have gained deep knowledge and experience on the topic through diverse, true operational pathways and backgrounds. The diversity and perspectives of the author team makes the content in the book the broadest and deepest treatment of synthetic media attacks available to readers.

Attacks, Analysis, and Defenses

Synthetic Media, Deepfakes, and Cyber Deception

Most composition textbooks begin with skills like thesis writing and paragraph structure. This one begins with a person. Writing as Self-Design is a transformative textbook in which students examine control of information and discover their agency in meaning-making. Informed by neuroscience, rhetorical theory, digital literacy, and composition pedagogy, this book challenges students to question how meaning is made, filtered, and constrained in the digital age, and to develop their unique voices through composition strategies that reclaim writing as an act of self-design. It is a book which responds to the technological landscape in which we find ourselves. Rather than convincing students of the value of research and writing, Writing as Self-Design allows them to discover their own emotional value through enhanced agency in inquiry and resistance. Through this textbook, composition becomes a space in which students question information control, the hedonic cycle of passive consumption, and their greater agency in creativity and intentional design. Recognizing the ubiquity of tools like AI, this book encourages critical examination of how and why they are used. Students engage with algorithmic bias, misinformation, datafication, and the influence of platforms like Google, TikTok, and ChatGPT: not just as topics, but as forces that shape the way they think, write, and relate to the world. The value of Writing as Self-Design will resonate well beyond the classroom, addressing the importance of the critical skills needed to navigate the "total noise" of our media-saturated lives, build personal definitions of success, and rediscover the creative cycle that leads to lasting happiness and fulfilment.

Finding Voice and Agency Through Composition

Writing as Self-Design

Practical guide to cybersecurity controls, systems, programs, and management Cybersecurity Auditing is a comprehensive, field-tested guide to the full spectrum of cybersecurity auditing, enabling readers to assess, evaluate, and improve security controls across today's complex IT environments. It covers cybersecurity operations, governance, and risk management, offering a practical auditing roadmap that spans internal systems, cloud infrastructure, application development, and vendor ecosystems. From the fundamentals of audit planning to the nuanced challenges of assessing hybrid environments, each chapter is structured to deliver actionable insights, technical depth, and strategic relevance. Forward-looking chapters explore automation, continuous auditing, and AI integration, making the book a future-ready resource in an evolving cybersecurity landscape. Cybersecurity Auditing discusses: <ul> <li>Security standards and regulations (NIST CSF/800-53, ISO 27001, SOC 2, PCI, HIPAA) and risk assessment and control design for modern systems</li> <li>Identity and access management, network and perimeter security, application and API security / CI-CD (DevSecOps), cloud and saas security, data protection (encryption, DLP, key management), and logging, monitoring, and detection</li> <li>Incident response and crisis management, vulnerability management and pen test oversight, and third-party and supply-chain security</li> <li>Audit reporting and executive communication, and annual audit planning and capability development</li> </ul> Whether used as a primary reference, instructional text, or professional desk guide, Cybersecurity Auditing provides the structure and depth needed to effectively elevate cybersecurity audit engagements and improve organizational assurance.

Principles, Practices, and Frameworks

Cybersecurity Auditing

The Art Law Library

This open access book investigates the role played by copyright on the digitisation of cultural heritage from three angles: the theoretical differences between cultural property law and copyright; a comparative analysis of the EU, UK, and US; and analysis of current practices and concerns, based on empirical research. As heritage digitisation projects become increasingly common for purposes such as preservation and access, the impact of copyright is also becoming more problematic. In order to provide a full and current picture of the copyright problem, the book first introduces the reader to the debates on the scope and ownership of cultural heritage and provides an overview of the copyright implications of the digitisation process and newer uses, including 2D and 3D scanning; virtual and augmented reality; text and data mining; and artificial intelligence. The author then divides the main critical analysis into three parts, referred to as the 'clashes with copyright'. The first, clash in theory, lies between cultural property law and copyright justification theories. The second clash is in the different legal approaches to digitising in-copyright, public domain, orphan, out-of-commerce and unpublished works in the chosen jurisdictions, focusing on the relevant rights and defences. The third clash is in the interests of stakeholders, based on public reactions to existing projects and cases, supported by interviews with heritage professionals engaging in digitisation. By placing itself in this particular intersection of law, heritage, and technology, the book will be of interest to both intellectual property academics and cultural heritage professionals. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com.

Clashes with Copyright Law

Digitising Cultural Heritage

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

Real-World Solutions for Reshaping Healthcare Through Artificial Intelligence and Beyond

Strategies for Artificial Intelligence in Healthcare

In Digitizing the Supply Chain, Nick Seiersen explores the transformative potential of information technologies in modern supply chain management. This book examines the foundational technologies, tools, and challenges of the digital transformation of supply chains, offering insights into future trends and opportunities.

The author reviews key technologies such as AI, IoT, blockchain, and Big Data, illustrating their application through real-world case studies. Readers will gain a practical understanding of how to leverage these technologies to optimize logistics, enhance cybersecurity, and manage risk.

This book serves as an essential resource for executives and professionals seeking to navigate the complexities of deploying new technologies to build resilient, future-proof supply chains.

How AI and 8 Technology Building Blocks Can Supercharge Your Supply Chain

Digitizing the Supply Chain

The Future of Business and Society

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