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Swearingen K: The Capability Debt

The Capability Debt

Why AI is Exposing What Organizations Never Built

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

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

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

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

The Safe Sigma Method for Governed AI Velocity

VEGA

AI Firing Freeze: Why fully-staffed organizations thrive in an AI-driven economy challenges one of the biggest assumptions in modern business; that artificial intelligence capabilities should automatically lead to workforce reduction.

As organizations race to implement AI chatbots, AI agents and agentic AI solutions, many are planning layoffs and hiring freezes in pursuit of short-term cost savings. But what if that strategy is fundamentally flawed?

Drawing on proven patterns of technological transformation, innovation, market expansion and real-world operational risks, AI Firing Freeze argues that the organizations most likely to thrive in an AI-driven economy will not be those that aggressively reduce headcount, but those that retain, repurpose and upskill their teams to work alongside AI for exponential results.

AI Firing Freeze shows you how to combine the strengths of AI with the human insight, critical thinking, experience, curation and governance your organization needs for success.

This book gives you clear guidance for maximizing the value - and minimizing the risk - of your AI solutions. It shows you how to leverage high-powered hybrid human and AI teams to run your operations; how to identify the AI initiatives that deliver the greatest ROI; how to inventory, monitor and manage all of your AI initiatives; how to secure your investments with AI governance; and how to ensure that every AI solution has the right level of supervision and human intervention to protect your organization.

Inside, readers will discover:Why human vision, creativity, judgement, quality control and expertise are critical differentiators in an AI-driven economy
The hidden operational, financial, reputational and liability exposures of overreliance on AI with insufficient human involvement
What is causing the "AI boomerang effect" and how to avoid that trap
A step-by-step process for building your AI-empowered organization
Role-specific guidance on leveraging your current teams 
Tools for realistic resource planning with hybrid human and AI teams
How to establish an AI governance framework that helps your organization scale safely and sustainably.





AI Firing Freeze inspires your organization to see beyond the initial allure of using AI capabilities for quick overhead reductions. It shows you how to combine AI and human strengths to superpower your teams, unlock innovation, expand your markets, increase resilience and create sustainable long-term growth.

Before you downsize for the promise of AI, you need to read this book.

Why fully-staffed organizations thrive in an AI-driven economy

AI Firing Freeze

Juridicum – Schriftenreihe zum Wirtschafts-, Unternehmens- und Bankrecht / Series on Business, Corporate and Banking Law

This book examines the transformative impact of artificial intelligence on corporation management, with a particular focus on decision-making at the board level. As AI technologies increasingly permeate corporate structures, traditional legal frameworks face profound challenges in addressing issues of accountability, responsibility, and governance.
Adopting a comparative legal perspective, the study analyses the role of artificial intelligence within corporate boards under Turkish and German law. It explores the possibility of AI acting as a board member, its use as a strategic asset, and the legal implications of delegating managerial functions to AI systems. Particular attention is given to the evolving duties of directors, including the potential obligation to integrate AI into corporate management and the development of governance frameworks for its responsible use.
The book further examines key concerns such as fiduciary duties, liability, compliance, and the need for organisational restructuring in light of AI-driven decision-making. By bridging corporate law and emerging technologies, it contributes to contemporary debates at the intersection of law and innovation.
This work will be of interest to scholars, practitioners, and policymakers in corporate law, commercial law, and technology law, and provides practical guidance for board members in navigating the challenges of AI-driven corporate governance.

A Comparative Legal Analysis

Artificial Intelligence and Corporation Management

Organizations have been promised that AI will revolutionize them. But what ends up happening is that AI ends up being introduced like standard software. When productivity is the only focus of enterprise AI, the real insights that AI can offer prove elusive. This book shows a better way. Written by leading AI expert and keynote speaker Richard Foster-Fletcher, The AI Gap explains why enterprise AI in most organizations isn't producing the insights that were promised. AI enters as a promise of new intelligence but passes through the procurement, security, legal and compliance systems built for standard software. These systems strip AI of its potential. This book traces how this happens, why it persists and what organization must change to capture the insights AI can deliver. This book will explain why the way AI is implemented keeps restricting its potential and what organization must change to capture the true value of AI. AI works best when it and employees are given the freedom to explore, challenge ideas and use AI in new and create ways. This book is about developing the structures, the environment, and the culture that allows AI to flourish in an organization as a key driver of insights rather than a simple productivity improvement.

How to Fix Enterprise AI and Get Real Insights

The AI Gap

An executive operating system for leading AI-driven strategic transformation Intelligence as a Commodity: Human Judgment as a Competitive Advantage delivers a structured leadership playbook for executives navigating AI adoption. Written by Rajeev Kapur, who built a billion-dollar business at Dell, and Jason Hunter, a senior consultant for the Blue Ocean Strategy Network, the book moves beyond AI trends to provide actionable frameworks for strategic foresight, organizational redesign, and ethical AI governance at the enterprise level. The book introduces flagship tools including HorizonAI for scenario-based strategic planning, HealthCheckAI for operational resilience assessment, and AI Deep Blue Strategy for AI-driven market innovation. Additional frameworks cover Executive Archetypes, the AI Leadership OS, AI Organizational OS, and Collective Intelligence Framework, each designed to shift organizations from reactive AI adoption to proactive, sustainable competitive positioning. Readers will also find: <ul> <li>Frameworks for assessing AI readiness and prioritizing initiatives across enterprise operations and strategy functions</li> <li>Tools for integrating human-AI collaboration while managing ethical, operational, and governance risk at scale</li> <li>Scenario-based strategic planning methods using HorizonAI to anticipate market shifts and technology disruptions</li> <li>Organizational redesign approaches for building agility and hybrid intelligence into existing leadership structures</li> <li>Guidance on embedding ethical AI governance and risk management into enterprise-wide adoption programs</li> </ul> Written for C-suite executives, directors, entrepreneurs, MBA participants, and consultants overseeing strategy, operations, and innovation, this book provides the frameworks and tools needed to lead AI-driven transformation with clear organizational design, ethical governance, and measurable business outcomes at the enterprise level.

Human Judgment as a Competitive Advantage

Intelligence as a Commodity

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

TDWI

Know-how für erfolgreiche KI-Initiativen

- Umfassendes und praxisnahes Handbuch

- Verständliche Einführung in neue Technologien wie generative KI, LLMs und Chatbots

- Mit zahlreichen Praxisbeispielen aus der BI- und Analytics-Welt

Künstliche Intelligenz (KI) hat sich von einem Zukunftstrend zu einer geschäftskritischen Technologie entwickelt. Unternehmen stehen vor der zentralen Aufgabe, KI strategisch und gewinnbringend einzusetzen, um nachhaltige Wettbewerbsvorteile zu erzielen.

Dieses umfassende Handbuch führ Sie systematisch durch alle Aspekte der KI-Implementierung - von den technologischen Grundlagen bis zur praktischen Umsetzung. Teil 1 vermittelt fundiertes Wissen zu maschinellem Lernen, Natural Langage Processing, Computer Vision und KI-gestützter Robotik. Teil 2 behandelt die strategischen und operativen Herausforderungen: Wie operationalisieren Sie KI-Systeme? Wie bauen Sie eine erfolgreiche KI-Einheit auf? Welche rechtlichen und ethischen Aspekte müssen Sie beachten! Die detaillierten Praxisfälle aus unterschiedlichen Branchen in Teil 3 zeigen konkret, wie Unternehmen KI erfolgreich implementieren und welche Potenziale sich dabei erschließen lassen.

Ihr Leitfaden für die KI-Transformation: Von der ersten Idee über Quick Wins bis hin zu nachhaltigen Geschäftsmodellen - dieses Buch begleitet Sie auf dem Weg zu einer datengetriebenen, KI-gestützten Organisation.

Grundlagen, Architekturen und Anwendungen

Künstliche Intelligenz für Business Analytics

The Capability Debt

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