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Spoelhout M: L'EMPIRE DE L'ÉVÉNEMENT

L'EMPIRE DE L'ÉVÉNEMENT

La Méthode de Rupture pour les Créateurs : Souveraineté, Immersion et Ingénierie du Monument Numérique

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

Turn Intelligence into Your Competitive Advantage

Enterprise 5.0

A grounded guide to thinking bigger with AI-and putting both human and machine intelligence to work across business and everyday life In The Intelligence Leap: How Humans + AI will Solve Problems, Reimagine Business, and Improve Lives, Gopi Kallayil, the Global AI Business Strategist and Leader at Google, argues that AI is the most profound invention in human history-for one specific reason. Nearly every major tool before it extended our physical capabilities. AI amplifies our cognitive abilities, which represents a leap in human intelligence. It doesn't replace our natural intelligence; it complements it, so that a single person can now harness the thinking power of an entire team. Drawing on hundreds of conversations with the world's top executives, Kallayil turns that shift into something any leader can actually use. He starts by demystifying AI in plain English-how it works, and what it's genuinely good at versus what it isn't. From there he makes his central case: the biggest breakthroughs won't come from working faster, but from non-linear thinkers who reimagine the problem entirely, the way Uber's founders stitched together maps, GPS, and idle cars into something the taxi and car rental industries never saw coming. AI doesn't hand out big ideas, but it supercharges the people who have them-empowering them to chase even bolder ones and build disruptions that dwarf what we've seen so far. The rest of the book brings all of this down to earth. Kallayil looks at business through four lenses-consumer behavior, marketing, service delivery, and operations-and gives readers practical frameworks alongside case studies from hospitality, retail, financial services, healthcare, and transportation. Throughout, his message stays consistent: this is a moment of extraordinary opportunity, and it belongs to whoever has the best idea and can act on it first. Readers will also discover: <ul> <li>A jargon-free explanation of how AI actually works-what it's uniquely good at, and where it still falls short</li> <li>Why non-linear thinking, not raw effort or technical expertise, produces real breakthroughs-and how AI helps those thinkers reach solutions no one else has found</li> <li>The four conditions that spark non-linear thinking inside any organization</li> <li>Case studies from six industries-hospitality, transportation, retail, financial services, auto, and healthcare-showing the same transformation play out in strikingly different ways</li> <li>A grounded, optimistic take on AI's real risks-and the guardrails that let you move fast without getting burned</li> </ul> Ideal for business leaders, entrepreneurs, marketers, and anyone trying to understand where they fit in an AI-powered world, The Intelligence Leap offers a grounded way to combine human and artificial intelligence-to solve problems, transform organizations, and create lasting value.

How Humans + AI Will Solve Problems, Reimagine Business, and Improve Lives

The Intelligence Leap

Turn enterprise AI into a source of strategic insight, not just productivity gains.The AI Gap by leading AI expert and keynote speaker Richard Foster-Fletcher shows business and technology leaders how to unlock greater value from enterprise AI by changing the structures, processes and culture surrounding it. Organizations invest in AI expecting new intelligence and transformative insights. Yet AI is often introduced through procurement, security, legal and compliance systems designed for standard software, restricting its potential before it can deliver on that promise. This book explains why this gap persists and what organizations must change to close it. You'll learn how to: - Identify organizational barriers limiting the value of AI - Move beyond productivity-focused AI implementation - Create conditions where AI can generate deeper insights - Enable employees to explore, experiment and challenge established thinking &gt;The AI Gap equips leaders to rethink AI implementation, create space for experimentation and turn artificial intelligence into a powerful driver of organizational insight and long-term business value. Themes include: enterprise AI, AI implementation, AI strategy, business transformation, organizational culture, AI innovation

How Business Decisions Expand What AI Can Do

The AI Gap

How Workers and Their Union Won Against a Billionaire

The Cablevision War

To understand today's world-its media, its politics, and its culture wars-you must first understand Rupert Murdoch. For seventy years, he cultivated leaders like Margaret Thatcher, Ronald Reagan, Tony Blair, and, eventually, Donald Trump. Across continents and decades, presidents and prime ministers sought his favor-and feared his wrath. But Murdoch's real achievement is how he built that influence in the first place.&nbsp;At twenty-one years old, he inherited two failing Australian papers after his father's sudden death left the family in debt with rivals circling. Deal by deal, he fought his way from Adelaide to London to America, buying up ailing newspapers that his established competitors were convinced would fail. With each win, he wagered more, until he'd assembled a globe-spanning empire that gave him leverage over politics, culture, and the news itself. He nearly lost it all under a mountain of debt in 1990. He missed the internet, twice. A phone-hacking scandal made him a pariah in the UK. And late in life, he fought his own children over who would inherit what he'd built. Yet Murdoch's influence persisted through every crisis: his career both masterclass and cautionary tale about the power that comes from controlling the story. Drawing on hundreds of interviews, this sweeping biography reveals the man behind the empire-and the century he helped shape.

Rupert Murdoch and the Deals That Shaped a Century

Empire of Influence

Build an AI security operating model that manages risk, strengthens governance and enables AI to scale securely. AI Risk Management is a practical guide for AI risk owners, GRC managers, AI governance managers and technology risk professionals responsible for managing the security risks of AI.Written by security expert Rafah Knight, this book shows how to make AI security operational, measurable and embedded into existing business processes. It provides practical guidance on establishing ownership and accountability for AI risk, designing effective governance structures, implementing policies and controls and managing third-party AI vendor exposure.Drawing on real-world examples from financial services, retail, the public sector and healthcare, learn how to: - Build an effective AI security operating model - Establish clear ownership and accountability for AI risk - Design AI governance policies, controls and assurance processes - Measure AI security and operational risks effectively - Manage third-party AI vendor exposure at scaleAI Security gives you the practical structures and controls to operationalize AI assurance, strengthen AI governance and support secure AI adoption at scale.Themes include: AI security, AI risk management, AI governance, GRC, AI assurance, third-party AI risk

How to Scale AI Securely

AI Risk Management

Artificial Intelligence and the Transformation of Organizations

Algorithmic Management

A practical guide to writing with AI that puts students' questions, judgment, and learning at the center of the process. Generative AI is changing how people write and how writing is taught. How can students use it thoughtfully while developing their own ideas and abilities? Writing with AI: Literacy in the Digital Age brings the longstanding values of Writing Studies to this question, offering accessible guidance for students and their instructors. The book moves beyond treating AI as a vending machine for finished text. It shows students how to investigate a writing task, ask useful questions, evaluate responses, and revise with a purpose. Throughout, students remain responsible for what they write and for deciding whether, when, and how AI can support their work. A flexible, four-part framework, Question, Assemble, Improve, Deliver (QAID), helps students navigate writing projects, returning to earlier steps as their understanding develops. Designed for classroom use, the book includes explanations, examples, and activities that help students: Develop questions and prompts grounded in purpose, audience, and context Assess AI-generated content for accuracy, relevance, and usefulness Develop and organize ideas while making deliberate choices about revision Consider ethical questions, recognize limitations, and decide when to proceed without AI Prepare writing for readers and explain the role AI played in its development Writing with AI helps students approach an evolving technology with curiosity and critical judgment. Its focus is on the work of writing: asking questions, developing ideas, revising, and taking responsibility for what they share.

Literacy in the Digital Age

Writing with AI

Data and AI can help organizations move faster, but speed without trust creates costly risk. As AI agents begin interpreting data, making recommendations, and taking action, traditional governance models are no longer enough. Data Governance in the Era of AI, second edition, offers a practical framework for keeping data trustworthy, secure, and ready for both human and agentic use. It shows leaders how governance can enable innovation rather than stand in its way. This fully updated guide brings together people, processes, policies, and tools across the full data lifecycle. Readers will explore AI-ready data, vector database governance, automated traceability, privacy-enhancing technologies, and human-in-the-loop oversight. The book connects compliance and risk management with operational efficiency, customer trust, and new business value. It's a timely reference for governing not only the data AI consumes, but the actions intelligent systems take. <ul><li>Prepare enterprise data for reliable AI use</li> <li>Govern agents across the data lifecycle</li> <li>Establish clear human oversight</li> <li>Strengthen privacy, security, and traceability</li> <li>Scale governance without limiting innovation</li></ul>

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

Data Governance in the Era of AI

L'EMPIRE DE L'ÉVÉNEMENT

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