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Catalogue de droit

AI Innovations in Service and Tourism
Marketing

AI Innovations in Service and Tourism Marketing

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

A dazzling exploration of the phenomenon of prediction betting markets that asks: what happens when democracy becomes another commodity? For many, Donald Trump's decisive election victory over Kamala Harris in 2024 was a shock. Traditional polls had the race on a razor's edge. But, for those with eyes on prediction betting markets, a very different story was being told. In recent years, prediction markets have swept the world, fundamentally changing the nature of the gambling market, and making their youthful pioneers billionaires. Posed as binary 'Yes/No' questions about future events, prediction bets allow any difference of opinion - whether on politics, wars, assassinations or popular culture - to be financialised. But are these markets really a new phenomenon? What does it mean when markets get closer to the truth than the institutions we built to protect us? And what happens when those tasked with safeguarding democracy possess financial stakes in its volatility? From Renaissance Rome, where merchants wagered on papal conclaves, through London coffee house gossip during the Napoleonic Wars, to the Pentagon's ill-fated terrorism futures exchange, The Big Bet describes the full five-hundred-year arc of a permissive regime which no one designed and no one voted for. Drawing on deep expertise, Michael Auerbach examines how these markets are changing our world, and what they mean for the future of our democratic self-governance. Because they are not an anomaly - they are the logical endpoint of a society that has applied market capitalism to every aspect of life. And in a world when everything is a wager and nothing is off limits, knowing where the chips will fall matters more than ever.

Prediction Markets and the Future of Democracy

The Big Bet

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

Hart Studies in Comparative Public Law

Theory, Practice and Problems

Automation in Governance

Leveraging Data Science and Machine Learning

Predictive Intelligence for Transforming Healthcare Insurance

How Retail Revealed Apple’s Genius

Shop Different

A USA Today Bestseller. A dramatic new future of work in which managers assemble exactly the expertise they need—within minutes. 2026 PROSE Award Winner: Business, Finance, and Management "If you’ve ever wished you could assemble your version of The Avengers at work, this book will help you make it happen.” —Adam Grant, #1 New York Times-bestselling author of Think Again and host of the podcast Re:Thinking Gone are the days of static organizational charts and staffing based on the manager’s rolodex and intuition. Now you can recruit any expertise you need from a global online network within minutes: an on-demand, on-the-spot expert at the exact moment that you need their help. You can right-size their involvement, too; some of those experts give a second opinion or a moment of brainstorming, whereas others join as full-fledged team members for a sustained collaborative effort. This is the future promised by flash teams, a model that The New York Times has already praised for its “revolutionary potential”: a world where experts are available anytime and everywhere, where remote work has become a norm, and where AI is in the loop to guide team decisions. In Flash Teams, award-winning management scholar Melissa Valentine and computer scientist Michael Bernstein chart the opportunities of flash teams and navigate the challenges that teams and managers will face. They distill lessons from their own work assembling and managing flash teams on demand that every manager can learn from so they can successfully use flash teams in their own organizations. Drawing on original research and industry examples, this book will help readers to: <ul><li>Recognize and source needed expertise within minutes</li><li>Anticipate and plan team designs with AI</li><li>Redesign team structures on the fly as projects evolve</li></ul> Industries are already being transformed by this new approach to teaming. Flash Teams arms leaders, managers, and entrepreneurs with the tools they need to accomplish their goals with confidence, speed, and agility.

Leading the Future of AI-Enhanced, On-Demand Work

Flash Teams

An in-depth exploration of the network of agencies involved in policing child pornography—and what the future of security and care looks like. Facing the Child investigates the technocratic expertise in the policing of child sexual abuse material (CSAM). Mitali Thakor argues that CSAM has come to be framed as primarily a digital problem, to be resolved digitally, thereby unleashing a new form of corporatized policing helmed by global technology companies. Ambitious in scope, this multi-sited global ethnography draws on four years of original fieldwork and interviews with technology companies in the US, the United Nations in Bangkok, Thai and Dutch NGOs, and law enforcement in the US and the Netherlands. The book argues that in the 2010s, a network of technology companies, NGOs, and law enforcement created the notion of a “virtual child” in need of techno-solutionist saving to justify a vast expansion of surveillance technologies. The book examines how pervasive myths of child abuse online were exploited to serve the aims of seemingly disparate groups, from Christian neo-abolitionists to NGOs conducting virtual sting operations. It is this complex relationship between the care and securitization needed to fix the child victim as an object of data, concern, and rescue that the book explores.

Surveillance, Care, and the Policing of Violent Digital Images

Facing the Child

The first analysis of how AI, robotics, and genetic engineering converge to reshape civilization Most analyses of technological disruption examine AI, robotics, or genetic engineering in isolation. A Perfect World: The Unintended Consequences of the AI, Robotics and Biotech Revolution is the first work to analyze their inevitable convergence and the societal consequences it creates. William Nobrega, a Deloitte alumnus and Army Special Forces veteran who advises Fortune 500 companies on disruption strategies, introduces what he calls the "holy trinity of disruption." Drawing on extensive research, expert interviews, and historical analysis spanning 50,000 years of human development, A Perfect World examines where these three technologies stand today and where expert consensus places them in fifteen years. Nobrega applies basic economic principles to reveal how their interaction effects will create impacts far exceeding what each technology produces independently, potentially yielding a bifurcated world. Readers will also find: <ul> <li>A framework for understanding how AI, robotics, and genetic engineering convergence will reshape industries and global labor markets</li> <li>Analysis of how genetic engineering may enable designed physical characteristics, disease elimination, and IQ augmentation within the coming decades</li> <li>Exploration of both utopian and dystopian outcomes grounded in military, corporate consulting, and academic research perspectives</li> <li>Historical parallels including examination of modern connections to Orwell's 1984 and the origins of human communication</li> <li>Analytical tools for business leaders and policymakers navigating what robotic labor replacement means for low-skilled workforces globally</li> </ul> Written for business leaders, policymakers, and informed citizens seeking to understand how the convergence of AI, robotics, and genetic engineering will transform their industries and society, A Perfect World provides the frameworks and analytical tools necessary to navigate the most consequential technological transformation in human history.

The Unintended Consequences of the AI, Robotics and Biotech Revolution

A Perfect World

This book offers an alternate trajectory for EU copyright law. Building on cultural norms in creative communities to reuse, recreate and share, the book proposes a more holistic approach to reconcile conflicting copyright interests. Drawing upon Niklas Luhmann's system theory, John Dewey's theory of art and feminist data theory, it advocates access to, and care within, creative communicative spaces, such as social media platforms or artificial intelligence (AI) data infrastructures, to safeguard creativity and cultural production online. Following a comprehensive assessment of current EU copyright law and related regulation, it proposes a rebuttable presumption of artistic communication to account for the nature of communication between authors, users and the public that safeguards creative reuse. The book isolates the question of remuneration, particularly in AI context, as one of collective socio-cultural value to address wider harms through a cultural commons existing on the border of the EU copyright system. Reflecting on traditional copyright concepts such as authorship, consent and remuneration alongside more novel legal structures like a right of collective informational self-determination, Reshaping EU Copyright Law to Support Creativity Online provides a foundation to reshape how the EU copyright system and its regulatory neighbours adequately respond to new forms of creativity, dissemination, and its use.

Creative Reuse

Reshaping EU Copyright Law to Support Creativity Online

Platform Supply Chains in the AI Era

Risk Management

Platform Supply Chains 5

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

AI Innovations in Service and Tourism Marketing

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