Steven b strout (27 risultati)

Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: New.

Condizione: New.

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: New.

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. The AI-Powered Enterprise: A Strategic Guide to Human-Led, AI-Driven Transformation (Second Edition) is a strategic guide for those navigating the most consequential business transformation of our era. The first edition was written when agentic AI was an emerging pattern and most enterprises were still finding their footing. This second edition was written after organizations have had a few years of production experience, and when the organizations that did not start back then are beginning to understand what that gap means in competitive terms.This second edition offers something the first edition could not: the ability to measure what it predicted, against what actually happened. The core thesis of this book, that Organizational Intelligence, not AI capability per se, is the primary competitive differentiator of the AI era, has been validated now by a few years of observable market outcomes. The organizations genuinely pulling away from competitors are not doing so because they have better access to frontier AI models. They are doing so because they have built organizational systems that learn faster, govern better, and compound more reliably. The technology is the foundation. The organizational intelligence built on top of it is the moat.The Core ArgumentThe organizing principle of this book, introduced in the first edition and history has confirmed, is this: Trust before intelligence. The order matters.Organizational Intelligence compounds through a self-reinforcing system, the Virtuous Circle, in which better data produces better AI outputs, better outputs produce better decisions, better decisions produce better outcomes, and better outcomes enrich the data estate for the next cycle. That circle either runs toward compounding intelligence or toward compounding error. The direction it runs depends entirely on the quality of the foundation: the trustworthiness of the data, the governance of the agents, and the organizational capability to lead AI systems that are growing more capable and more autonomous.The enterprises that understood this and built their foundations before scaling their ambitions are the ones whose intelligence is compounding correctly. The enterprises that scaled capability before establishing foundation are the ones now managing the consequences of having done so. The gap between them is not primarily a technology gap. It is an organizational intelligence gap, and it compounds.Who This Book Is ForThis book is written for the anyone responsible for AI strategy, architecture, implementation, maintenance, and/or governance in an enterprise context. It assumes a reader who understands that AI is consequential, who is not satisfied with surface-level frameworks, and who wants the analytical depth to make sound architectural and organizational decisions rather than follow fashion.It is also written for the leader managing the harder problem: the organization that deployed AI, encountered the consequences of having done so without an adequate foundation, and is now building it the way it should have done the first time. Today we ask 'how do we best use AI?' This book asks 'what becomes possible when intelligence compounds?' Those are different questions. They lead to different answers. And they build different organizations. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In a world where data learns, adapts, and begins to think for itself, the challenge isn't building faster systems - it's ensuring humans remain at the helm, guiding technology with purpose.Chief Data Officer Sarah Chen and Chief Information & Technology Officer Mark Boyd set out to champion a human-led transformation where technology amplifies human judgment, not replaces it. Together, they built a foundation where decisions could be fast and fair, autonomous and accountable. Faced with internal politics, regulatory scrutiny, and accelerated transformation, they proved the future doesn't belong to the loudest algorithm - it belongs to those who lead it with clarity, courage, and human wisdom.While the companion guide, The AI Enterprise: A Strategic Guide to Building a Human-Led AI-Powered Enterprise, provides the strategic frameworks and technical blueprints, this novel brings those ideas to life. Through realistic scenarios and authentic characters, When Data Thinks shows how human-led AI transformation unfolds in the complex, messy world of modern enterprise.This book bridges the gap between theory and practice by following a fictional organization navigating their human-centered AI journey. Readers witness how human leadership drives strategic frameworks and Organizational Intelligence concepts into practice - including inevitable obstacles, unexpected discoveries, and the human dynamics that shape every major change.Through compelling narrative, the novel reveals how successful transformation requires human leaders to master interconnected challenges no technical manual can fully capture: aligning AI strategy to goals while keeping human values central, making augment-or-transform decisions with human judgment at the forefront, and orchestrating operational and organizational intelligence dimensions - all guided by human insight and ethics.The story shows how human-AI partnerships develop with humans as the senior partners, how governance frameworks evolve through ethical dilemmas resolved by human conscience, and how intelligent architectures come alive through human-driven collaboration. Rather than describing a linear 'happy path' technical implementation, the story reveals how human leaders must adapt roadmaps to unexpected challenges through leadership courage and cultural evolution that keeps humanity at the center.This storytelling approach makes complex concepts accessible and memorable, demonstrating that successful AI transformation is ultimately about human leadership steering technological power toward shared human objectives.Whether you're an executive planning human-led AI transformation, a manager implementing AI capabilities that augment human work, or a team member adapting to AI-augmented roles, When Data Thinks provides the narrative context that transforms technical understanding into practical wisdom for creating truly intelligent organizations where humans lead and AI empowers.…

Paperback. Condizione: new. Paperback. In a world where data learns, adapts, and begins to think for itself, the challenge isn't building faster systems - it's ensuring humans remain at the helm, guiding technology with purpose.Chief Data Officer Sarah Chen and Chief Information & Technology Officer Mark Boyd set out to champion a human-led transformation where technology amplifies human judgment, not replaces it. Together, they built a foundation where decisions could be fast and fair, autonomous and accountable. Faced with internal politics, regulatory scrutiny, and accelerated transformation, they proved the future doesn't belong to the loudest algorithm - it belongs to those who lead it with clarity, courage, and human wisdom.While the companion guide, The AI Enterprise: A Strategic Guide to Building a Human-Led AI-Powered Enterprise, provides the strategic frameworks and technical blueprints, this novel brings those ideas to life. Through realistic scenarios and authentic characters, When Data Thinks shows how human-led AI transformation unfolds in the complex, messy world of modern enterprise.This book bridges the gap between theory and practice by following a fictional organization navigating their human-centered AI journey. Readers witness how human leadership drives strategic frameworks and Organizational Intelligence concepts into practice - including inevitable obstacles, unexpected discoveries, and the human dynamics that shape every major change.Through compelling narrative, the novel reveals how successful transformation requires human leaders to master interconnected challenges no technical manual can fully capture: aligning AI strategy to goals while keeping human values central, making augment-or-transform decisions with human judgment at the forefront, and orchestrating operational and organizational intelligence dimensions - all guided by human insight and ethics.The story shows how human-AI partnerships develop with humans as the senior partners, how governance frameworks evolve through ethical dilemmas resolved by human conscience, and how intelligent architectures come alive through human-driven collaboration. Rather than describing a linear "happy path" technical implementation, the story reveals how human leaders must adapt roadmaps to unexpected challenges through leadership courage and cultural evolution that keeps humanity at the center.This storytelling approach makes complex concepts accessible and memorable, demonstrating that successful AI transformation is ultimately about human leadership steering technological power toward shared human objectives.Whether you're an executive planning human-led AI transformation, a manager implementing AI capabilities that augment human work, or a team member adapting to AI-augmented roles, When Data Thinks provides the narrative context that transforms technical understanding into practical wisdom for creating truly intelligent organizations where humans lead and AI empowers. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condizione: new. Paperback. In an era defined by artificial intelligence, cyber threats, and regulatory scrutiny, trust has become the most valuable - and most fragile - asset any organization possesses. Seeking Digital Trust examines how boards, executives, and leaders across the many disciplines can protect that trust while navigating unprecedented digital risk.Through vivid scenarios and real-world composites, the book reveals how failures in silos-whether legal, cybersecurity, data, or culture-can cascade into crises that jeopardize reputation, compliance, and resilience. It introduces the eight pillars of The Digital Risk Alliance (TheDRA)-Legal & Regulatory Affairs, Cybersecurity, Risk & Resilience, Privacy & Ethics, Data Integrity & Governance, Emerging Technologies, Talent & Culture, and Board & Executive Accountability-as a framework for building cross-functional collaboration.Rather than offering abstract theory, the book provides a structured lens to compare roles, connect themes, and explore how different leaders confront shared challenges. Readers will gain practical insights into: Why traditional approaches to risk and compliance are no longer sufficient.How AI, deepfakes, and data manipulation reshape board-level accountability.What it takes to create a culture of integrity and resilience across silos.The critical questions boards and executives must ask in their "moment of truth."Seeking Digital Trust is both a wake-up call and a roadmap. It challenges leaders to move beyond checklists and compliance, toward governing with foresight, collaboration, and integrity. For boards, CxOs, and professionals in legal, risk, data, and technology roles, this is an essential guide to safeguarding trust in the digital age. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Today we ask 'how do we best use AI ' This book asks 'what becomes possible when intelligence compounds ' Those are different questions. They lead to different answers. And they build different organizations.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In an era defined by artificial intelligence, cyber threats, and regulatory scrutiny, trust has become the most valuable - and most fragile - asset any organization possesses. Seeking Digital Trust examines how boards, executives, and leaders across the many disciplines can protect that trust while navigating unprecedented digital risk.Through vivid scenarios and real-world composites, the book reveals how failures in silos-whether legal, cybersecurity, data, or culture-can cascade into crises that jeopardize reputation, compliance, and resilience. It introduces the eight pillars of The Digital Risk Alliance (TheDRA)-Legal & Regulatory Affairs, Cybersecurity, Risk & Resilience, Privacy & Ethics, Data Integrity & Governance, Emerging Technologies, Talent & Culture, and Board & Executive Accountability-as a framework for building cross-functional collaboration.Rather than offering abstract theory, the book provides a structured lens to compare roles, connect themes, and explore how different leaders confront shared challenges. Readers will gain practical insights into:Why traditional approaches to risk and compliance are no longer sufficient.How AI, deepfakes, and data manipulation reshape board-level accountability.What it takes to create a culture of integrity and resilience across silos.The critical questions boards and executives must ask in their 'moment of truth.'Seeking Digital Trust is both a wake-up call and a roadmap. It challenges leaders to move beyond checklists and compliance, toward governing with foresight, collaboration, and integrity. For boards, CxOs, and professionals in legal, risk, data, and technology roles, this is an essential guide to safeguarding trust in the digital age.…

Taschenbuch. Condizione: Neu. When Data Thinks | A Strategic Business Novel of a Human-Led, AI-Powered Enterprise | Steven B Strout | Taschenbuch | Englisch | 2025 | Altera Partners | EAN 9798218746414 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Taschenbuch. Condizione: Neu. Seeking Digital Trust | Steven B Strout | Taschenbuch | Englisch | 2025 | [.] | EAN 9798218757304 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condizione: Neu. The AI-Powered Enterprise | A Strategic Guide to Human-Led, AI-Driven Transformation | Steven B Strout | Taschenbuch | The AI-Powered Organization Series | Englisch | 2025 | Altera Partners | EAN 9798218746353 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…