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Evren Eryurek: Data Governance in the
Era of AI

Data Governance in the Era of AI

People, Processes, and Tools to Operationalize Data Trustworthiness for Humans and Agents

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

Today's boards need to create value--not just protect it.Boards have long carried the essential work of overseeing performance, managing risk, fulfilling their fiduciary responsibilities, and ensuring that organizations remain on track. In a world of growing complexity and uncertainty, that foundation matters more than ever--but it is no longer enough.In Value-Creating Boards, Jill Ader and Pamela Warren, senior leaders at Egon Zehnder, argue that the most important governance work is understanding who directors must become, individually and collectively, to create value that endures. Rather than viewing the board simply as a governance mechanism, they show how it can become a powerful source of perspective, imagination, judgment, and collective intelligence to meet an organization's most consequential challenges.Achieving this requires boards to develop the human capabilities of the people around the table--and to recognize the board is a constellation of relationships, dynamics, and interdependencies. Drawing on decades of experience and work with thousands of board chairs, directors, and CEOs, Ader and Warren show how leaders can unlock energy and create healthy patterns in this system.Value-Creating Boards presents a practical four-part framework that enables boards to operate at a greater strategic altitude, create space for deeper thinking, challenge their own assumptions, and bring more of themselves and their collective wisdom to the work.The four practices--Catalyze, Align, Integrate, and Exchange--equip boards and their members with the tools to strengthen their roles; to connect purpose, vision, strategy, and values; and to improve the quality of dialogue between directors, chairs, CEOs, and management.Filled with candid stories from some of the world's most experienced board leaders, practical exercises, and ideas tested in real boardrooms, Value-Creating Boards will help boards move from asking Are we managing risk well? to something much more powerful: What becomes possible because this board is here?

Reimagining Governance to Boost Performance

Value-Creating Boards

How AI is transforming consulting and professional services, plus a new model for the future.Artificial intelligence has disrupted the world of expertise. Work that once required teams of highly trained professionals--research, analysis, modeling, and drafting--can now be completed in seconds. For consulting firms, law firms, accounting practices, and other professional-service organizations, the implications are profound. The very activities that have long generated revenue, developed talent, and sustained competitive advantage are rapidly being transformed. How do firms built on human expertise create value in a world where machines can now think alongside us?In The Future of Expertise, innovation expert David Duncan offers a compelling answer. Drawing on more than two decades of experience at McKinsey, at Clayton Christensen's advisory firm, and on the front lines of AI-enabled consulting, Duncan argues that the basic structure of professional-service firms must be reinvented. He introduces a new model for the AI era: a leaner, more agile "obelisk" structure that replaces the traditional professional-services pyramid with smaller, highly skilled teams augmented by AI.Through real-world examples from consulting, law, accounting, and corporate strategy, Duncan shows how AI is reshaping everything from client expectations to firm economics and profitability to talent development and leadership. He examines why the apprenticeship model that was used to train generations of professionals is breaking down, how firms can rethink careers and capability building, and what new forms of value clients will demand as routine expertise becomes automated.Provocative and deeply insightful yet practical, The Future of Expertise is an essential guide for leaders navigating the next era of knowledge work.

AI and the Reinvention of Professional Services

The Future of Expertise

Artificial Intelligence and the Transformation of Organizations

Algorithmic Management

Introduces a data-driven framework for measuring governance through a fourteen-component Macro-Governance Index, demonstrating its strong predictive power for national development outcomes and offering practical tools to diagnose governance gaps and guide policy interventions.
Every year, governments borrow trillions, spend billions on development programs, and publish volumes of economic statistics-yet no widely accepted framework exists for answering a deceptively simple question: is governance actually working? Traditional approaches rely on subjective expert assessments or narrowly focused indices that measure inputs rather than outcomes. Macro-Governance Theory proposes that governance can be measured with the same empirical rigor we bring to medicine, engineering, and economics-and that doing so is essential if citizens and policymakers are to hold institutions accountable for results. 

Drawing on 26 years of publicly available data across 170 countries, the book constructs the Macro-Governance Index (MGI)-a fourteen-component composite spanning infrastructure, connectivity, financial inclusion, human capital, security, institutional quality, and economic integration. The MGI correlates with the UN Human Development Index at r = 0.97, and this relationship is not driven by income alone: controlling for GNI, the framework retains substantial independent predictive power, confirming that governance infrastructure-not just wealth-determines whether nations deliver well-being to their citizens. 

The book reveals patterns that conventional measures miss. Novel metrics for credit access and household-level financial reach show that the effective economic gap between the Global North and Sub-Saharan Africa is approximately 70× rather than the 53× that standard income comparisons suggest-a hidden disparity with profound implications for development policy. A governance simulation framework models how investments in one dimension cascade through others, enabling policymakers to identify the highest-leverage interventions for their country's specific development stage. 

Seven detailed case studies-Singapore, Rwanda, Estonia, Botswana, Chile, Costa Rica, and Lebanon-demonstrate how the framework diagnoses governance strengths and weaknesses in practice. An analysis of the ten fastest-rising nations reveals that while successful governance strategies differ radically across political systems, they share common patterns in infrastructure sequencing and institutional development that the MGI captures and quantifies. 

Designed for dual utility, the book serves as an analytical framework for researchers and policymakers and as an accessible assessment tool for citizens through the companion website grademygovernment.com. A full reproducibility dataset covering all 170 countries across seven benchmark years is included, making this not just an argument for governance science but its working prototype.

A Data-Driven Framework for Measuring and Improving Governance Across Nations

Macro-Governance Theory

Regulating the Future of Work

Legal Governance of Agentic AI and Autonomous Agents

Wer hat jetzt was zu sagen im Familienunternehmen?

Entscheidungsstärke entwickeln im ersten Generationswechsel

Implement trusted AI systems that deliver measurable business value while managing risk, compliance and long-term performance. Decision-Quality AI 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 Decision-Quality AI 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 you need to build 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

Zum Werk Ein Unternehmen, das in wirtschaftliche Schwierigkeiten geraten oder gar schon von der Insolvenz bedroht ist, bedarf einer umfangreichen und vielfältigen Betreuung. Sanierungsrecht, Restrukturierungs- und Insolvenzrecht, Arbeitsrecht, Sozialversicherungsrecht, Steuerrecht (ESt, KSt, GewSt, USt, GrESt, GrSt), Bilanzrecht und Bilanzsteuerrecht, Gesellschaftsrecht und Unternehmenssteuerrecht - nahezu alle Rechtsbereiche sind gefragt. Das Werk gliedert und strukturiert die möglichen Maßnahmen und ihre rechtlichen Konsequenzen:<ul><li>Corporate Governance in Krise und Insolvenz</li><li>Bilanzierung und bilanzielle Sanierung</li><li>Sanierungsmaßnahmen und deren steuerliche Ausgestaltung und Konsequenzen</li><li>Steuern und Steuerverfahren in der Insolvenz</li><li>StaRUG und die steuerlichen Folgen</li></ul> Vorteile auf einen Blick<ul><li>chronologischer Aufbau anhand des Krisenverlaufs eines Unternehmens</li><li>komprimierte Darstellung eines weit verzweigten Beratungsthemas</li><li>mit allen aktuellen Entwicklungen und Tendenzen des Insolvenzrechts</li></ul> Zur Neuauflage Die Zahl der Insolvenzen erreicht einen neuen Höchststand. Bilanzielle und steuerliche Auswirkungen werden oft unterschätzt und bedürfen einer umfassenden Beratung. In der Krise und der Insolvenz verzahnen sich Insolvenzrecht-, Bilanzierung und Steuerrecht und führen zu Herausforderungen in einem ohnehin schwierigen Beratungsumfeld. Der Gesetzgeber hat mit dem Krisenfrüherkennungs- und Risikomanagementsystem und dem StaRUG zudem neue Verpflichtungen und Restrukturierungsmöglichkeiten geschaffen. Zielgruppe Für Rechtsanwaltschaft, Insolvenzverwaltung, Sanierungsberatung, Steuerberatung und Wirtschaftsprüfung.

Zum Werk 
 Ein Unternehmen, das in wirtschaftliche Schwierigkeiten geraten oder gar schon von der Insolvenz bedroht ist, bedarf einer umfangreichen und vielfältigen Betreuung. Sanierungsrecht, Restrukturierungs- und Insolvenzrecht, Arbeitsrecht, Sozialversicherungsrecht, Steuerrecht (ESt, KSt, GewSt, USt, GrESt, GrSt), Bilanzrecht und Bilanzsteuerrecht, Gesellschaftsrecht und Unternehmenssteuerrecht - nahezu alle Rechtsbereiche sind gefragt.
 
 Das Werk gliedert und strukturiert die möglichen Maßnahmen und ihre rechtlichen Konsequenzen:
 <ul><li>Corporate Governance in Krise und Insolvenz</li><li>Bilanzierung und bilanzielle Sanierung</li><li>Sanierungsmaßnahmen und deren steuerliche Ausgestaltung und Konsequenzen</li><li>Steuern und Steuerverfahren in der Insolvenz</li><li>StaRUG und die steuerlichen Folgen</li></ul> Vorteile auf einen Blick<ul><li>chronologischer Aufbau anhand des Krisenverlaufs eines Unternehmens</li><li>komprimierte Darstellung eines weit verzweigten Beratungsthemas</li><li>mit allen aktuellen Entwicklungen und Tendenzen des Insolvenzrechts</li></ul> Zur Neuauflage 
 Die Zahl der Insolvenzen erreicht einen neuen Höchststand. Bilanzielle und steuerliche Auswirkungen werden oft unterschätzt und bedürfen einer umfassenden Beratung. In der Krise und der Insolvenz verzahnen sich Insolvenzrecht-, Bilanzierung und Steuerrecht und führen zu Herausforderungen in einem ohnehin schwierigen Beratungsumfeld. Der Gesetzgeber hat mit dem Krisenfrüherkennungs- und Risikomanagementsystem und dem StaRUG zudem neue Verpflichtungen und Restrukturierungsmöglichkeiten geschaffen.
 Zielgruppe 
 Für Rechtsanwaltschaft, Insolvenzverwaltung, Sanierungsberatung, Steuerberatung und Wirtschaftsprüfung.

Bilanzierung und Besteuerung in Krise und Insolvenz

Data Governance in the Era of AI

Weitere Titel zum Thema