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Swearingen K: The Capability Debt

The Capability Debt

Why AI is Exposing What Organizations Never Built

Studies in International Trade and Investment Law

This open access book examines the evolving role of international economic law in addressing two interrelated challenges of the 21st century: enabling digital development and bridging the digital divide. The rapid digitalisation of the economy has generated significant challenges, including a deepening global digital and data divide and a persistent lack of inclusive digital development. Confronting these challenges head on, this pioneering book brings together experts across different legal subfields, geographies, and disciplines to examine the role and relevance of international economic law in bridging the global digital divide and enabling digital development, particularly from the perspective of the Global South. The contributions are anchored in a distinctive analytical framework that traces future directions through which international economic law interacts with digital development, demonstrating how it may function as a constraint, fade into irrelevance, or eventually act as an enabler. The chapters focus on a broad range of areas, including international trade, investment, tax, development, competition, finance and related regulatory and policy domains; they consider multilateral, regional, and plurilateral frameworks; and draw on a plurality of perspectives from Africa, Asia, the Middle East, and Latin America. The authors employ a wide range of methodological approaches to address issues such as digital sovereignty and digital industrial policy, cross-border data flows and digital global value chains, competition in data markets, AI governance, financial inclusion, and the sustainability-digitalisation nexus. This book speaks to scholars, policymakers, and practitioners in international economic law, development studies, and technology law who seek theoretical and pragmatic pathways for reorienting international economic law as a tool for equitable, sustainable, and meaningful digital development. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com.

Towards Digital Development

Reorienting International Economic Law for the Digital Economy

Implement trusted AI systems that deliver measurable business value while managing risk, compliance and long-term performance. AI Development by Eva-Marie Muller-Stuler is a practical guide for data, product and technology leaders responsible for turning AI ambition into real-world outcomes. Covering the complete AI lifecycle from strategy and team design to deployment and governance, it provides the frameworks and technical foundations needed to develop AI products that are effective, responsible and aligned with business goals. Designed for leaders implementing AI at scale, this book helps you move beyond experimentation and hype to build AI solutions that solve genuine business challenges while meeting regulatory and operational requirements. You will learn how to: - Define AI use cases that address real business needs - Build teams, processes and governance for AI delivery - Develop, test and deploy AI with confidence - Manage risk, compliance, security and transparency - Monitor performance throughout the AI lifecycle AI Development combines responsible AI principles with the practical disciplines required for successful implementation. It explores areas such as MLOps, ModelOps, AIOps, DevSecOps and cybersecurity, giving you a complete framework for delivering AI that creates lasting impact. Whether you are launching your first AI initiative or scaling enterprise-wide adoption, this book provides the tools, processes and leadership guidance needed to develop trusted AI systems that deliver results. Themes include: AI development, AI governance, AI security, MLOps, ModelOps, risk management, DevSecOps, data architecture, AI strategy

Grasp how to deliver fully deployed, scalable, trusted and useful AI and avoid expensive failed solutions and limited proof-of-concepts with this practical guide covering the lifecycle of AI development.

From AI Ambition to Operational Success

Decision-Quality AI

The Safe Sigma Method for Governed AI Velocity

VEGA

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 behavior Featuring 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

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

How to Make Sense of a Complex Future

The AI Paradox

The G.A.M.E. Framework for Enterprise Risk and Board Accountability

Governing the AI Machine

This book offers an accessible guide to the economics of digital transformation in Europe. With a particular focus on artificial intelligence, it brings together policy analysis, legal insights, technical innovations, and practical case studies to highlight the economic opportunities and social challenges associated with the digital agenda. The impact of artificial intelligence and the digital transition is assessed across a number of different contexts, including governance, regulation, governmental decision-making, industry, and education. The potential for artificial intelligence and technological innovation to drive sustainable industrial development, enable the circular economy, improve education, and enhance global cooperation are also outlined.
This book shows how the digital transition can transform economies and societies. It will be relevant to students, researchers, and policymakers interested in the digital transition, the political economy, and economic policy.

Economic Challenges and Solutions

European Digital Agenda and Artificial Intelligence

AI Forward Future: How Companies Can Grow, Defend, and Innovate with Artificial Intelligence (AI) by Jeremy A. Swenson is more than just another book on AI-it's a dependable roadmap for those eager to harness AI's transformative power while managing its inherent risks to achieve market leadership. The book is for the real power players-business leaders, policy makers, regulators, technology professionals, risk managers, digital strategists, and entrepreneurs-who refuse to accept superficial AI hype. It offers strong, actionable strategies to grow, defend, and innovate with AI, covering machine learning (ML), natural language processing (NLP), Agentic AI, generative AI (GAI), and the hypothetical artificial superintelligence (ASI). Through riveting case studies across various industries and eras, the book connects the dots, revealing the trade-offs, risks, secrets, synergies, and solutions behind modern innovation. The real question is, will you master AI Forward Future, or will it master you!"A well informed entrepreneur speaking to other entrepreneurs about the promise and risks tied to AI in leading business and innovation. Reading this book is one clear step forward in securing your future."-William H. Dutton, Oxford Martin Fellow at the University of Oxford and Director of the Portulans Institute in Washington, DC (a globally recognized leader in digital research), founding Director of the Oxford Internet Institute, the first Professor of Internet Studies at Oxford, and author of The Fifth Estate: The Power Shift of the Digital Age."Jeremy Swenson's AI Forward Future offers a comprehensive exploration of the intersection between artificial intelligence and cloud security. As the Cloud Security Alliance continues to develop frameworks like the AI Controls Matrix to ensure the safe deployment of AI technologies, this book serves as a timely resource. Swenson's analysis of the challenges and opportunities presented by AI integration equips forward-thinking professionals with the knowledge to drive innovation while maintaining robust security postures."-Jim Reavis, CEO and Co-founder, Cloud Security Alliance (CSA)."Jeremy Swenson's AI Forward Future is an indispensable roadmap through the convergence of artificial intelligence and cybersecurity. With a keen understanding of these transformative technologies, the author blends technical depth with incisive analysis of the human factors-from leadership to change management-that will shape our future. This book is a must-read for anyone who seeks to harness the power of AI while navigating the complex challenges of modern cybersecurity."-David Espindola, Exponential Technologist, Futurist, former Chief Information Officer (CIO), and author of Soulful: You in the Future of Artificial Intelligence.

How Companies Can Grow, Defend, and Innovate with Artificial Intelligence (AI)

AI Forward Future

Im Zeitalter der Künstlichen Intelligenz wird eine zentrale Frage immer dringlicher:Wie bleibt man relevant?
 Dieses Buch ist kein Technikratgeber und kein Zukunftsorakel.Es ist ein Kompass für Orientierung in einer Zeit tiefgreifender technologischer Transformation. Basierend auf langjähriger Erfahrung in Strategie-, Personal- und Organisationsfragen entwickelt der Autor einen Bezugsrahmen: den Zukunftskompass.Er zeigt, woraus Relevanz im KI-Zeitalter entsteht und warum sie weit mehr umfasst als technologische Kompetenz allein. Entscheidend ist das Zusammenspiel von fachlicher Substanz, strategischer Orientierung, technologischer Einordnung, wirtschaftlicher Tragfähigkeit und verantwortungsvollem Handeln.Der Zukunftskompass macht diese Zusammenhänge greifbar und bietet Orientierung für Entscheidungen in einer Welt, in der Unsicherheit, Komplexität und Ambiguität zur Normalität geworden sind.

Der Zukunftskompass für Menschen, Organisationen und Gesellschaft

Relevanz im KI-Zeitalter

Shared Intelligence

Coming of Age

The Capability Debt

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