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Swearingen K: The Capability Debt

The Capability Debt

Why AI is Exposing What Organizations Never Built

Building Trusted AI from the Inside Out - A Field Guide to AI That Earns Its Keep

Bears & Mosquitoes

The AI-Ready CFO directly addresses the challenges of AI-driven transformation, offering finance leaders a clear framework for making informed technology decisions, smoothly integrating AI into existing processes, and successfully leading transformation. Drawing upon the author's extensive experience as a CFO and advisor in finance innovation, the book prioritizes real-world implementation and provides specific, actionable guidance. Readers will gain a practical understanding of AI technology, including its strengths and limitations, enabling them to confidently evaluate AI platforms, effectively negotiate with vendors, and ensure successful deployments. Additionally, the book tackles crucial leadership issues, including reorganizing finance teams, establishing effective data governance, managing risk and compliance, and navigating the complexities of organizational change. With relatable case studies from real-world implementations, The AI-Ready CFO answers the practical questions CFOs face every day: <ul> <li>How do I choose the right AI vendors and technologies?</li> <li>What is the best way to integrate generative AI into our financial workflows?</li> <li>How should I structure, train, and prepare my finance team for these changes?</li> <li>What governance frameworks, internal controls, and compliance considerations do I need to manage?</li> </ul> The AI-Ready CFO equips finance leaders to confidently navigate AI adoption, bridging the crucial gap between technological promise and practical, real-world execution in finance.

A Strategic Guide to Evaluating and Implementing Ai, Automation, and Analytics

The Ai-Ready CFO

Shared Intelligence

Coming of Age

AI and Constitutional Law in Europe

Democracy in the Age of Disinformation

Your comprehensive, easy-to-understand guide on AI's impact in business and life Coexisting with AI: Work, Love, and Play in a Changing World&nbsp;is an exploration of how AI can be used at each stage of our lives. It helps readers understand the positive impact of AI and where governance is needed from both an individual and business perspective. From childhood through to aging, this book delivers a holistic understanding of this exciting new technology in language that anyone can understand regardless of technical expertise. Written by Kay Firth-Butterfield, former inaugural Head of AI at the World Economic Forum and one of the most foremost experts in the world on the governance of AI, topics explored in this book include: -&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; An explanation of AI and Chatbots and their dependence on data -&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; How to use AI wisely in business, with your children and in your life -&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; How AI might be used in politics and war -&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; The good, bad, and ugly of AI now and into the future -&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; AI's potential to solve some of humanity's biggest problems, from human trafficking to disease -&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Essential governance considerations to make AI a beneficial technological development for all Coexisting With AI&nbsp;earns a well-deserved spot on the bookshelves of all individuals, from tech executives to curious citizens, seeking expert insight on where AI can take us and how to plot the best path forward for your family and business.

Work, Love, and Play in a Changing World

Coexisting with AI

Apress Pocket Guides

This pocket guide is a concise, field-ready reference for IT leaders, administrators, and architects responsible for governing Microsoft 365 Copilot and Copilot Studio deployments. As AI evolves from simple assistants to autonomous digital colleagues, governance is no longer optional—it’s the backbone of secure, compliant, and value-driven adoption. Covering both platforms, this guide shows how to define effective policies, controls, and monitoring frameworks that protect organizational data while enabling innovation. Drawing from Microsoft’s latest governance models, enterprise case studies, and real-world best practices, it translates complex principles into clear, actionable steps to help organizations scale AI responsibly.
What You Will Learn:
<ul>
<li>Design and implement a governance framework for M365 Copilot and Copilot Studio

</li><li>Configure sensitivity labels, DLP policies, and lifecycle management to protect organizational data in AI workflows

</li><li>Apply environment strategy, role-based access control, and ALM to Copilot Studio agents

</li><li>Measure, monitor, and optimize AI agent performance, cost, and compliance

</li><li>Balance innovation with guardrails using models like Microsoft’s Zoned Governance
</li></ul>

This pocket guide is a concise, field-ready reference for IT leaders, administrators, and architects responsible for governing Microsoft 365 Copilot and Copilot Studio deployments. As AI evolves from simple assistants to autonomous digital colleagues, governance is no longer optional—it’s the backbone of secure, compliant, and value-driven adoption. Covering both platforms, this guide shows how to define effective policies, controls, and monitoring frameworks that protect organizational data while enabling innovation. Drawing from Microsoft’s latest governance models, enterprise case studies, and real-world best practices, it translates complex principles into clear, actionable steps to help organizations scale AI responsibly.What You Will Learn:<ul><li>Design and implement a governance framework for M365 Copilot and Copilot Studio</li><li>Configure sensitivity labels, DLP policies, and lifecycle management to protect organizational data in AI workflows</li><li>Apply environment strategy, role-based access control, and ALM to Copilot Studio agents</li><li>Measure, monitor, and optimize AI agent performance, cost, and compliance</li><li>Balance innovation with guardrails using models like Microsoft’s Zoned Governance</li></ul>

Practical Guardrails and Checklists for Secure, Responsible AI at Scale

Governance in Microsoft 365 Copilot & Copilot Studio

The Governance Gap examines the widening divide between rapid AI adoption and executive control. As organizations race to deploy generative AI, agentic systems, automation, and AI-enabled workflows, many are relying on outputs before they have clearly defined ownership, review, escalation, documentation, vendor controls, and accountability.

The book argues that the real risk does not begin when AI produces an answer. It begins when an institution chooses to rely on that answer.

Through practical governance framing, operational examples, and executive level analysis, The Governance Gap gives leaders a clear way to understand where AI risk enters the organization, how invisible rework forms, and why governance must be built before reliance becomes business action.

The Governance Gap

The Strategy, Governance, and Economics of Agentic AI

Building an Agentic Organization

Luxemburger Juristische Studien - Luxembourg Legal Studies

How well is European law equipped to govern artificial intelligence? This edited volume pursues that question across several sectors: tax administration, the workplace, competition and data sharing, access to justice, legal personhood, financial fraud, and smart contracts. It combines doctrinal analysis with real-world cases to re-veal where the EU AI Act protects fundamental rights and where critical gaps remain. The book treats AI regu-lation not as a technical exercise but as a normative project balancing innovation, democratic control, and rights.

This Title is also Available as Open Access.

A Deep View

AI in European Law

Routledge Research in Corporate Law

Employing an interdisciplinary lens, this book examines the practices, legal frameworks, and regulatory challenges of corporate responsibility and accountability in emerging sectors, drawing on national, regional, and international case studies.In the current climate, business activities are debated and scrutinised worldwide due to their social, environmental, and human rights impacts. Concomitantly, corporations have been active agents of progress in the investment, creation, and dissemination of new technologies; fields in which the regulation of responsible business conduct is still developing. Aligning with current challenges of the United Nations Sustainable Development Goals, the book is divided into five parts and looks at AI and data, investment, production and consumption, energy, and climate change. It offers a compelling analysis of the convergences and divergences in business practices across diverse legal and regulatory frameworks. By examining the gap between law, regulation, and rapid advancements in emerging sectors and technologies, it provides actionable insights for corporate strategy, legal reform, and policy development, ensuring timeliness and practical relevance.The book will be of interest to researchers in the field of business and corporate law, corporate responsibility, and accountability.

Regulation and Practice in Emerging Sectors

Corporate Responsibility and Accountability in Business Law

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.Eugene Eteris
 is a Senior Researcher at Turiba University and Director at the European Integration Institute, Denmark.

Economic Challenges and Solutions

European Digital Agenda and Artificial Intelligence

<div>
This book presents a practical and strategic roadmap for AI adoption through the lens of enterprise architecture. It tackles the urgent challenges organizations face, whether a startup, SMB, or large enterprise, when navigating the complexities of AI and Generative AI implementation on a global scale. Covering critical areas such as architectural readiness, governance, compliance, ethical considerations, integration hurdles, and scalability, the book provides actionable blueprints, decision frameworks, and real-world case studies to enable sustainable AI adoption. 
</div>
<div>
Structured around global trends, core enterprise layers (data, application, infrastructure, and business) and varying organizational maturity levels, it uniquely bridges the gap between high-level executive vision and on-the-ground architectural execution, while keeping the Human Endpoint Principle at its core—ensuring that every system ultimately serves people. 
</div>
<div>
¿You Will: 
</div>
<div>
<ul>
<li>
Learn how to assess your organization's readiness for AI and Generative AI adoption 




</li></ul></div>
<div>
<ul>
<li>

</li></ul></div>

This book presents a practical and strategic roadmap for AI adoption through the lens of enterprise architecture. It tackles the urgent challenges organizations face, whether a startup, SMB, or large enterprise, when navigating the complexities of AI and Generative AI implementation on a global scale. Covering critical areas such as architectural readiness, governance, compliance, ethical considerations, integration hurdles, and scalability, the book provides actionable blueprints, decision frameworks, and real-world case studies to enable sustainable AI adoption.&nbsp;Structured around global trends, core enterprise layers (data, application, infrastructure, and business) and varying organizational maturity levels, it uniquely bridges the gap between high-level executive vision and on-the-ground architectural execution, while keeping the Human Endpoint Principle at its core—ensuring that every system ultimately serves people.&nbsp; You Will:&nbsp;<ul><li>Learn how to assess your organization's readiness for AI and Generative AI adoption&nbsp;</li></ul><ul><li>Discover frameworks that align AI with business goals, governance, and compliance while confronting ethical risks.</li><li>Understand why many AI projects fail to deliver expected value and how to avoid adoption turning into loss.</li><li>Apply enterprise architecture strategies to embed AI across data, applications, and infrastructure with built-in governance, scalability, and human-centered sustainability.&nbsp;</li></ul> This book is for: Enterprise Architects, CTOs, as well as students and professionals eager to explore how AI can be adopted responsibly and sustainably across organizations of every scale.&nbsp;

From Vision to Scalable Execution

Architecting Enterprise AI Strategies

The Capability Debt

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