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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

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

Taylor and Francis Proceedings in Business, Management and Economics

Global Challenges and Opportunities

Sustainable Entrepreneurship and Startup Ecosystem

Understand how algorithmic power governs society and how to hold it accountable While much of the public debate remains focused on whether AI systems are truly intelligent, when they may surpass human intelligence, or how useful or dangerous they may become, the deeper issue is being overlooked. Today's most powerful algorithmic systems increasingly reassemble powers that political thought once deliberately separated under the doctrine of Trias Politica. The book argues that compute, energy, training operate as an algorithmic executive; that code, model design, optimization targets, and embedded constraints function as an algorithmic legislature; and that evaluation, auditing, and benchmarking function as an algorithmic judiciary. What would be intolerable for many, the fusion of rulemaking, execution, and judgment, is becoming the standard of our society enabled by algorithmic systems. They now shape access, opportunity, and justice at machine speed - yet they operate largely beyond democratic scrutiny. Trias Algorithmica: What Code Rules, by Hamilton Mann, a Thinkers50 honouree, originator of the concept of Artificial Integrity, and leading authority in AI transformation, traces where this power originates, how it sustains itself through manufactured dependence, and what a constitutional framework for algorithmic governance must look like. The book introduces original concepts including aggregogenous monopoly, Technological Stockholm Syndrome, dependautonomy, and unpacks the revaluing mechanism of work. It also presents a practical framework of nine critical questions for interrogating algorithmic power deployment. It proposes algorithmic safety cases as constitutional safeguards alongside eight principles for separating design, oversight, and enforcement functions as a new Trias Politica for the age of code - preventing concentrated, self-judging systems from operating unchecked at scale across organisations and public institutions. You'll also explore: <ul> <li>How concentrated AI infrastructures turn code into enforceable law and corporate product into policy revealing how trust becomes the social license for algorithmic power.</li> <li>The spectrum of human-in-the-loop roles, from genuine oversight to compliance instruments effectively displaced by automation</li> <li>Why algorithmic efficiency gains can expand harmful uses unless constrained by deliberate macro-level governance boundaries</li> <li>How data-driven valuation systems reshape human worth through taskification, rankings, and machine-readable performance criteria</li> <li>A tested model for ensuring algorithmic governance remains bounded, reviewable, and fit for democratic purpose</li> <li>How the Trias Algorithmica can ensure legitimacy, contestability, and human dignity in the age of artificial intelligence systems.</li> <li>Turing's Imitation Game as a miniature constitution of roles showing how judgment, when stripped of friction, collapses into domination.</li> </ul> Trias Algorithmica is written for business leaders, policymakers, technologists, and organisational decision-makers responsible for deploying or governing AI systems. Whether you oversee digital transformation, shape regulation, or design algorithmic tools, this book provides the conceptual and practical foundations for accountable algorithmic governance.

What Code Rules

Trias Algorithmica

This isn't the office romance you expected... Perfect for fans of You've Got Mail, Attachments and Good Material 'Hilarious, heartbreaking, satirical, cutting and FUN' Laura Jane Williams 'For anyone who loves Curtis Sittenfeld, Nora Ephron, Alison Espach' Joanna Rackoff 'Super smart and assured . . . Fans of Tom Lake and The Flatshare will love it' Sarra Manning 'Rollicking and entertaining' People Magazine 'Captures all the thrills and aches of setting out in the world' Morgan Dick 1982 Jane Kinloch arrives at the legendary townhouse offices of the East River Review as a wide-eyed intern with big dreams. When she strikes up a friendship with glamorous fellow intern Rose, the two soon become inseparable. But Rose's attraction to their married boss, literary titan Edward David Adams, threatens to drive a wedge between them. 2022 Once upon a time in publishing, editors had their own offices. But now, to her great chagrin, Rebecca Blume of Avenue Publishing must share custody of a 'hot desk' with Ben Heath, editor at rival imprint Hawk Mills. What starts as a battle of passive-aggressive Post-it notes about an unwatered cactus notes escalates after the death of renowned writer Edward David Adams. He has left behind an unpublished manuscript, and Ben and Rebecca are soon vying for the career-making opportunity to publish it. But when Rebecca discovers that the manuscript contains a decades-old secret about her mother, Jane, she is determined to stop it from seeing the light of day. Can she persuade her infuriating (and annoyingly handsome) rival deskmate to let it go? A funny, sexy, unexpectedly moving novel that weaves a contemporary workplace romance with a gripping historical narrative set in the 1980s New York publishing industry.

Hot Desk

Harriman House Essentials

The Illusion of Choice

A road map for developing responsible and innovative governance systems based on generative AI and other exponential technologiesAs exponential technology rapidly advances, leaders in every sector are faced with the challenge of harnessing its potential power while developing precautionary safeguards against its risks. From generative artificial intelligence to the future of quantum computing, these innovations are transforming the world at an unprecedented rate, leaving decision-makers unsure of how to maintain control and ensure responsible development.Governing Pandora focuses on multiple exponential technologies in order to demonstrate how leaders can develop responsible and innovative governance systems. This book equips leaders with frameworks and tools-including a detailed five-element "exponential governance mind-set"--to develop a more holistic tech governance approach for current and future waves of exponential tech. Andrea Bonime-Blanc encourages the development of a culture of collaboration across borders, sectors, and disciplines as technology takes on a bigger role in our ecosystem. She explains the context, risks, and opportunities of the ongoing exponential technology revolution so that leaders can futureproof themselves, their organizations, and key stakeholders with strategies and tactics to act responsibly, ethically, and successfully.This book speaks directly to executives, board members, policymakers, and organizational leaders who are tasked with charting a course through the advancement of modern technologies. Governing Pandora bridges the gap between exploring pure technology and managing and governing applied technology. Readers will learn not only how to develop a governance mind-set for exponential technology but also how to build organizational resilience.

Leading in the Age of Generative AI and Exponential Technology

Governing Pandora

Transform your organization by making AI foundational-not just functional Most organizations are using AI to improve the past, automate tasks, cut costs, speed up workflows, and squeeze more efficiency from yesterday's operating model. But that is not transformation or reinvention; it is optimization. In Infinite, Brian Solis and Dave Wright argue that a new class of company is emerging: the "Infinite Company." Built with AI at its core, not bolted onto legacy systems or thinking, these organizations are designed to learn faster, adapt continuously, and scale in ways traditional companies cannot. As AI-native challengers rewrite the rules of competition, incremental change is no longer enough. This book is a strategic blueprint for leaders who need to move beyond adoption and rethink how their organizations operate, create value, and grow. It shows readers how to shift from using AI as a tool for productivity to making it foundational to business design, decision-making, workflows, and innovation. Along the way, Solis and Wright introduce a practical framework for building AI-forward companies where human talent and artificial intelligence work together to unlock new performance, new possibilities, and new advantage. For business and technology leaders navigating the biggest shift in modern enterprise, Infinite is not a book about adopting AI or improving AI fluency, it is a book about escaping the trap of doing so incrementally. It is your guide to building the kind of organization that defines what comes next because of AI.

How Visionary Leaders Transform Today's Businesses into AI-Forward Companies

Infinite

Literacy in the Digital Age

Writing with AI

A good TradingView signal can do two things: help you catch trades earlier, and become the product other traders pay to use. Most chartists are on the wrong side of both. They pay for signals instead of owning the logic. They chase 93% backtests without knowing whether the strategy is real. They ask Claude Code for one Pine script, paste errors back ten times, and still end up with an indicator that repaints. Meanwhile, the signal service gets paid every month because it owns the script. Build Trading Signals with Claude Code shows you how to move to the owner side. First, you build Pine v6 TradingView signals you can test, alert, and trade yourself. Then you learn the second path: publish a free version as proof, put stronger versions behind invite-only access, rent scripts for 30, 90, or 365 days, or sell custom indicators to chartists who still cannot get Claude to compile clean Pine. Inside, you build 12 assets that make you a more dangerous chartist: 1. A Pine v6 setup that makes Claude read the manual first. 2. Prompts that turn signal ideas into working scripts. 3. Three TradingView indicators you can put on a chart. 4. Four strategies with sizing, stops, exits, and friction. 5. The breakeven stop-loss fix that prevents fake fills. 6. Alerts that carry real trade context. 7. A webhook loop for Claude trade analysis. 8. A checklist for spotting fake 93% backtests. 9. A faster loop for testing more signal ideas. 10. A 15-row Pine gotchas card. 11. Reusable prompts for the next indicator. &gt;The first money path is your own trading: signals you understand, alerts you control, and backtests you know how to distrust. The second money path is the asset: build a useful signal, prove it in public, publish the free version, rent the stronger version, and sell custom Pine work to people who still think coding indicators is expensive magic. One hundred $50 rentals is $5,000/month. A custom Pine job can pay more than the book, the TradingView plan, and the Claude subscription combined. You build the signal, backtest it with real friction, walk it forward, paper trade it, and only then decide whether it belongs on your chart, in your public library, or behind paid access.

Ship Pine v6 TradingView Indicators, Alerts, Backtests, and Webhooks This Weekend

L'EMPIRE DE L'ÉVÉNEMENT

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