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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

'[The Art of the Book] reveals how, over 75 years, Thames &amp; Hudson has changed the way we think about culture ... utterly absorbing and uplifting ... We need publishers like Thames &amp; Hudson now, just as we did at the end of the second world war, to help us experience the best that humanity can achieve' Observer A celebration of 75 years of publishing at Thames &amp; Hudson - a delight for bibliophiles, historians, art lovers and fans of the T&amp;H brand. In 1949 Walter and Eva Neurath founded Thames &amp; Hudson with a clear aim: to create a 'museum without walls' through books that would make art and scholarship accessible to all. This volume - the most comprehensive history of an illustrated publisher ever undertaken - tells through its books the history of a progressive, groundbreaking company that, 75 years later, remains true to those core founding ideals. The story of Thames &amp; Hudson is the story of the illustrated book. This special publication, divided into three chronological chapters, provides a comprehensive delve into the company's history. An introduction and three essays by historian Anna Nyburg take us from its origins in Vienna on the cusp of the Second World War to the 1960s and a change in management, and to the new millennium and beyond. Thames &amp; Hudson's rich output of groundbreaking and award-winning titles - ranging across the subjects of art, archaeology and architecture; history, design, photography and fashion - is celebrated in stunning pictorial spreads, as beautiful and compelling as the books themselves. The Art of the Book will be a valuable resource for those interested in the history of bookmaking and T&amp;H's impact over the years, and a must-have for collectors, enthusiasts and anyone with an appreciation for the art and evolution of publishing.

75 Years of Thames & Hudson

The Art of the Book

Explore the mathematical foundations driving artificial intelligence and generative AI&nbsp; The Mathematics of AI: Theory and Application for Investors by Miquel Noguer Alonso provides a rigorous examination of the mathematical principles underlying modern artificial intelligence. From linear algebra and probability theory to optimization and statistical learning, this book connects foundational mathematical concepts directly to practical AI applications, offering readers a structured path through the quantitative reasoning that powers today's most advanced generative models and algorithms.&nbsp; The Mathematics of AI covers the core mathematical building blocks that drive machine learning and generative AI systems. Readers gain a thorough grounding in the theoretical frameworks behind neural networks, deep learning architectures, and generative modeling techniques. Each topic is presented with the analytical depth needed to understand how mathematical structures translate into functioning AI systems used across finance and other industries.&nbsp; Readers will also find:&nbsp; <ul> <li>Detailed coverage of linear algebra, calculus, and probability as they apply directly to modern machine learning algorithms&nbsp;</li> </ul> <ul> <li>A rigorous treatment of the optimization methods that are central to training neural networks and deep learning architectures&nbsp;</li> </ul> <ul> <li>Thorough analysis of generative model mathematics, including the underlying theory behind variational autoencoders and related techniques&nbsp;</li> </ul> <ul> <li>Practical connections between abstract mathematical frameworks and real-world artificial intelligence applications across the finance industry&nbsp;</li> </ul> <ul> <li>A carefully structured progression from foundational mathematical concepts through to advanced topics in modern generative AI&nbsp;</li> </ul> The Mathematics of AI is written for quantitative professionals, data scientists, financial engineers, and advanced students seeking a rigorous mathematical understanding of artificial intelligence. It serves anyone who needs to move beyond surface-level AI knowledge into the quantitative depth that underpins modern generative systems. &nbsp;

Theory and Application for Investors

The Mathematics of AI

Independently published

The honest guide to product management in the age of AI.Product management is one of the most sought-after roles in technology - and one of the most misunderstood. The blog posts make it sound like being a mini-CEO. The job descriptions promise creative ownership and outsized impact. Neither tells you what it actually feels like to do the work on a Tuesday at 2pm when the sprint is behind, the stakeholder is upset, and the data is contradicting itself.Product Manager? is the candid guide the field has been missing. Modeled on the MIT Press classic Architect? A Candid Guide to the Profession, it skips the sales pitch and goes straight to what the job is, who thrives in it, and whether you would.AI changed the job. This book explains how.The production work that used to define a PM's day - writing specs, synthesizing research, building competitive analyses - is now done in minutes. What that compression reveals is that skills were never the real job. Judgment, systems thinking, conflict navigation, and narrative gravity were always what separated the PMs who made consequential decisions from the ones who produced a lot of artifacts. AI removed the scaffolding. Now those traits are the whole job.Each chapter covers one dimension of what PMs actually do: how they think, how they navigate peers and power, how they use tools without being used by them, and what the career looks like across startup, scale-up, and large company contexts. Every chapter ends with a realistic exercise designed to surface a real answer - not whether you can pass a case interview, but whether you actually like this kind of work.Who this book is for: People seriously considering a PM career. Current PMs recalibrating for the AI era. Anyone who wants the real answer, not the marketing version.

The Traits That Survive AI and Whether You'd Like the Work

Product Manager?

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

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

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

Use generative AI at work without producing slop or losing trust Unsloppable: How to Leverage AI Without Outsourcing Your Thinking is a practical guide to using ChatGPT, Claude, and Gemini for better business writing and clearer thinking. Learn to create emails, reports, proposals, and presentations that reflect your expertise and earn your readers' trust. Former Google Cloud AI director Valliappa Lakshmanan, PhD, explains why large language models produce generic prose and invented facts--and what you can do about it. Through worked examples and practical checklists, he shows you how to avoid AI slop: content that looks polished but lacks the substance, accuracy, or judgment your readers need. Unsloppable opens with a six-item prompt checklist designed to ensure generated content reflects the writer's own point of view rather than generic output. Subsequent chapters cover tool selection, avoiding common rookie mistakes, owning the narrative across long-form content, curating context, and synthesizing multiple sources. The book concludes with a recommended end-to-end workflow for creating content that balances productivity gains against the risk of AI slop. Readers will also find: <ul> <li>A clear framework for balancing trust and productivity when integrating generative AI into everyday professional communications and deliverables</li> <li>Guidelines for writing better AI prompts using six essential elements: audience, purpose, task, viewpoint, format, and constraints</li> <li>Suggestions on AI tools for your work that enable you to customize AI to your voice by suppling the sources, context, and instructions they need</li> <li>An approach that uses AI as a sparring partner to explore alternatives, challenge assumptions, and develop recommendations you can defend</li> <li>Ways to check facts and citations, spot AI hallucinations, and catch weak reasoning before it reaches your readers</li> <li>A repeatable workflow that matches the effort to the stakes, from routine updates to presentations that shape important decisions</li> </ul> Written for professionals without a technical background--including business leaders, lawyers, policymakers, healthcare professionals, educators, journalists, and consultants--Unsloppable equips anyone who uses generative AI at work with the specific methods needed to produce trustworthy content and avoid the reputational cost of AI slop.

Use AI to Think Better and Communicate Clearly Without AI Slop

Unsloppable

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

A major reassessment of the British government's communication of the goals of the Second World War and how its propaganda undermined the people's faith in the reliability of war news and the credibility of political leaders.

While waging war against enemies overseas, governments also need to win the hearts and minds of their own citizens. The media is critical to delivering the official message, raising public support for war, maintaining morale, spelling out what is to be achieved, downplaying setbacks, and presenting a bright vision of the postwar future. ln public memory, the British people were united in their support for the Second World War. Yet this popular image of the People's War neglects the fact that the war had to be sold.
 
In this work stretching from appeasement in 1938 through victory, award-winning historian Steven Casey examines how media, government, and armed forces worked to convince the British public to support the war, as well as the ways the British home front often questioned and challenged the official line. Using a vast array of primary sources, some of them previously untapped, he looks at the broad range of problems and policies that needed to be defended and explained, censored and concealed. The venues range widely from the battlefield to the football field, from the rubble-strewn cities of blitzed Britain to the faraway outposts of Empire. ln his chronological narrative of the war, Casey shines light on numerous high-profile episodes, including Munich and Dunkirk, the Battle of Britain and the Blitz, evacuation and rationing, and the campaigns in Africa, Asia, and Europe. Throughout, Casey stresses how the British military forged a relationship with reporters, how this relationship shaped news coverage of the fighting, and how this coverage in turn exerted a profound impact on every other dimension of the government's private and public actions. No one before has examined how all the branches of the armed services kept the home front informed about progress and especially setbacks. Officials, Casey argues, failed to communicate effectively with the British people, which undermined public trust and called the credibility of the political leadership into question. Remarkably, the BBC and Fleet Street sometimes relayed German communiqués to the public because the British government failed to release timely reports of its own. 
 
The Sceptic Isle provides a bold reassessment of how the British government sold the Second World War to the British public. It powerfully showcases how the attempt to mould and manipulate coverage of battles created a major credibility gap that cast a long shadow over the British government's efforts to sell the different dimensions of the Second World War to the home front.

How the British Government Sold the Second World War

The Sceptic Isle

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

Why the Companies That Win Rent the Technology and Keep What They Learn

Renting Intelligence

L'EMPIRE DE L'ÉVÉNEMENT

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