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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

Governing the Intelligent Enterprise

Overruled

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.

Creative Reuse

Reshaping EU Copyright Law to Support Creativity Online

Artificial intelligence has crossed the liability Rubicon. It is no longer a backend IT experiment governed by soft ethics, voluntary frameworks, and vague policy statements; it is a material financial asset driving enterprise revenue and unprecedented legal exposure. As we transition into Industry 5.0, algorithms are making autonomous, consequential decisions at machine speed. Yet, corporate boards and risk committees are attempting to govern these gigahertz systems using static compliance checklists designed for a slower, simpler era. The result is a looming crisis of algorithmic discrimination, regulatory friction, and catastrophic reputational decay. When an opaque, black-box model hallucinates financial advice or leaks proprietary trade secrets, the ensuing failure cascade can destroy billions in market capitalization overnight.AI Governance and Risk Management provides the definitive, boardroom-ready blueprint for surviving the fragmented global regulatory dragnet. This book dismantles the illusion of traditional "Human-in-the-Loop" oversight, proving that true algorithmic safety requires hard, architectural constraints. Drawing on decades of technology operations and academic leadership, the text translates classical financial auditing principles into executable machine logic. The author brings unparalleled practical experience-from supporting six Silicon Valley startups in client-facing roles to develop computer vision use cases, to leading over 30 continuous improvement projects for Cisco Systems. Having authored foundational texts on Segregation of Duties (SOD) and Hierarchical SOD two decades ago, and backed by 15 years of teaching financial risk management, this expertise culminates in the AI Integrity Framework (AIIF). This Hamiltonian approach empowers organizations to embed continuous improvement cycles and strict SOD directly into their deployment pipelines.Readers will discover how to engineer automated "Build Breaks," architect deterministic kill switches, and secure the unstructured data supply chain against copyright contamination and intellectual property theft. By shifting from reactive public relations to proactive "Governance as Code," Chief Risk Officers, legal counsel, and audit committees can mathematically prove fiduciary control to regulators across overlapping jurisdictions, from California to the European Union.Authored by a veteran industry practitioner, creator of five previous Wiley &amp; Sons texts, and current developer of the Industry 5.0 and AI curriculum at Santa Clara University, this release is not a theoretical ethics manual. It is an uncompromising operational survival guide. It provides the exact structural tools necessary to transform artificial intelligence from an unquantified off-balance-sheet liability into a fully auditable, legally defensible, and highly profitable enterprise asset.

The AI Integrity Framework (AIIF) for Enterprise Control and Regulatory Compliance

Auditable AI Governance and Risk Management

Useful & Usable

Towards 2030

Artificial Intelligence for Sustainable Infrastructure and Environmental Systems

Artificial Intelligence and Blockchain in International Arbitration offers an exhaustive analysis of technology-assisted arbitration across the entire arbitral lifecycle by examining how blockchain and artificial intelligence are used in drafting and concluding arbitral agreements, in the constitution of the tribunal, in the overall procedural management of the case, on evidence and disclosure, on virtual hearings, and even on arbitral award drafting. It delves deeper into the limitations of automation, the non-delegable roles of arbitrators, and the compatibility of digital procedures with core arbitration principles such party autonomy, due process, equality of arms, secrecy, and impartiality. Additionally, it examines how new technologies interact with private international law, with the consent of the parties, the relevant legislation and how these technologies can be incorporated into arbitration without going against public policy, without violation due process rights and, in that way ensuring enforcement under the New York Convention.This book, by examining how blockchain and artificial intelligence are changing arbitral practice, provides a fresh and topical viewpoint on current debates in international arbitration and explores how these technological advancements are reshaping arbitration foundations while posing ethical challenges about the future of arbitration.

Artificial Intelligence and Blockchain in International Arbitration

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

Leveraging Data Science and Machine Learning

Predictive Intelligence for Transforming Healthcare Insurance

Build category leadership by combining community momentum, AI-enabled strategy and faster brand decision-making. Marketing at Velocity is a strategic implementation guide for senior marketing leaders who want to build brands that compound value, strengthen market position and keep earning relevance in fast-moving categories. Written by brand and marketing strategist Arnt Eriksen, who brings over 30 years of experience, this book connects proven brand-building principles with the systems shaping the next decade of growth. It translates AI, community dynamics, decentralized ownership and strategic speed into practical marketing strategy for enterprise and growth-stage organizations. Drawing on field-tested frameworks including the One Rule Formula, Velocity Loops and the Decentralized Brand Scorecard, this book equips leaders to: - Build compounding brand momentum Apply AI to improve precision - Turn community into strategic advantage - Strengthen leadership through frameworks - Implement practical actions quickly Featuring real-world examples from Nike, Adidas, Lufthansa, Starbucks and other major organizations, Velocity Marketing gives senior marketing professionals the tools to lead with confidence, accelerate learning and build brands that never stop earning their place. Themes include: brand strategy, AI marketing, community-led growth, category leadership, decentralized brands, marketing transformation

B2B Brand Building, Momentum and Category Leadership

Marketing at Velocity

Wiley Finance

The handbook to unleash the power of AI in Finance with guidance to pragmatically managing AI Risk Are you ready to harness the transformative potential of artificial intelligence and machine learning in finance while effectively managing the associated risks? "AI and Risk Management in Finance: A Practitioner's Handbook" by Sri Krishnamurthy, CFA, is your indispensable guide. Tailored for financial professionals, this comprehensive handbook delivers practical insights, case studies, and frameworks to navigate the complex landscape of AI and ML in the financial sector. This pragmatic handbook, developed primarily for professionals involved in designing, developing, and deploying AI models in the financial industry explores cutting-edge technologies, regulatory landscapes, and pragmatic frameworks. From generative AI to robust risk management strategies, this handbook equips you with the tools you need to validate models, ensure compliance, and operationalize AI risk management effectively. Leveraging lessons from QuantUniversity's AI and Machine Learning Risk Management program offered in 18 countries, this book focuses on enabling practitioners apply the state-of-the-art AI and machine learning techniques factoring unique risks specific to the financial services domain. Whether you're a seasoned professional or a newcomer, this book offers invaluable insights for harnessing the power of AI responsibly in the financial industry. Highlights of the Book: <ul> <li>Machine Learning and AI in Financial Services: Dive into the fundamentals of ML and AI, exploring various applications within the financial industry through real-world case studies.</li> <li>Generative AI and LLMs in Finance: Understand the emerging landscape, key players, and advanced concepts like prompt engineering and fine-tuning with practical examples.</li> <li>Risk Management for AI/ML Applications: Learn about current and emerging regulatory landscapes, AI risk management frameworks, and legislative efforts shaping the field.</li> <li>Data Governance Issues: Address critical aspects of data quality, privacy, security, and governance, with actionable frameworks and illustrative case studies.</li> <li>Model and System Governance: Gain insights into validating machine learning models, quantifying model risk, and ensuring robust system governance with MLOps and model monitoring.</li> <li>Key Risk Assessment Facets: Focus on documentation, explainability, fairness, security, and reliability with detailed case studies.</li> <li>Verification and Validation: Distinguish between verification and validation and learn frameworks for effective AI application validation.</li> <li>Algorithmic Auditing: Conduct comprehensive algorithmic audits with detailed processes and real-world examples.</li> <li>Operationalizing AI Risk Management: Discover ten essential strategies for implementing AI risk management practices effectively in your organization.</li> </ul> Prepare for the future of finance with expert advice and actionable strategies. Don't miss out on this comprehensive guide-your roadmap to navigating AI and risk management in the financial sector.

A Practitioner's Guide to Machine Learning, Generative AI, Agentic Systems, and Responsible Deployment

AI and Risk Management in Finance

AI Impacts on Branded Entertainment and Advertising

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