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Gesamtkatalog

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AI Innovations in Service and Tourism
Marketing

AI Innovations in Service and Tourism Marketing

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 Images Online

Facing the Child

Cambridge Law Handbooks

The Cambridge Handbook of AI in Civil Dispute Resolution&nbsp;is the first global, in-depth exploration of how artificial intelligence is transforming civil justice. Moving past speculation, it showcases real-world applications-from predictive analytics in Brazil's courts to generative AI in the Dutch legal system and China's AI-driven Internet Courts. Leading scholars and practitioners examine the legal, ethical, and regulatory challenges, including the EU AI Act and emerging governance frameworks. With rich case studies and comparative insights, the book explores AI's impact on access to justice, procedural fairness, and the evolving public-private balance. Essential reading for legal academics, policymakers, technologists, and dispute resolution professionals, it offers a critical lens on AI's promise-and its limits-in reshaping civil dispute resolution worldwide.

The Cambridge Handbook of AI in Civil Dispute Resolution

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 Primer on a Gentle (R)evolution in Economy and Society

Agentic AI and AI Agents

A Framework for Adaptive CX

Unmapping Customer Journeys

Transform Your Business from One-Off Sales to Recurring Revenue with Memberships and Subscriptions

Predictable Profits

The new laugh-out-loud serial killer thriller from L.M. Chilton, author of Don't Swipe Right and Everyone in the Group Chat Dies. 'Razor sharp, irreverent and as funny as hell' JOHN MARRS 'A brilliant, dark comedy' Heat Hazel and Marc were paired together on revolutionary new reality TV show Love Synced, in which AI matches hopeful lovers based on its perceptive algorithms. But when it came time to say I Do on camera, Hazel couldn't go through with it, leaving her perfect match at the altar, his family furious and the whole TV production in jeopardy. Now all she wants to do is fly home. Instead, she's trapped in an isolated airport that's been ground to a halt by a snow storm... with her ex and his obnoxiously rich family. But when they start turning up dead, a jilted lover is the least of Hazel's worries - there's a serial killer to catch first. The AI algorithm failed to find Hazel her soulmate... But could it help find the murderer instead? 'A witty, brilliant read' Closer 'Darkly witty and sharply observed ... delivers twists from take-off to touchdown' Psychologies Magazine 'Brutal, biting, and totally unputdownable' JOANNA WALLACE 'For lovers of reality dating shows... hilarious and satisfying' TASHA CORYELL 'Fresh, fast-paced and hilarious... I loved every minute' KJ WHITTLE Praise for L.M. Chilton: 'Utterly compelling and laugh-out-loud funny' KATY BRENT 'Murderously clever!' RUPERT HOLMES 'With biting, mordant humor, Chilton sends readers on a serial killer hunt for our disassociated, true-crime-obsessed social media age' ASHLEY WINSTEAD 'Funny, twisty, bloodthirsty' JULIE MAE COHEN 'Kept me guessing and was so fun to read' BRITNEY SPEARS

The funniest serial killer thriller full of twists and turns you'll read all year

I Think We Should Kill Other People

Machine learning has become an essential component of modern business analytics -- driving insights, optimizing operations, and supporting strategic, data-informed decisions. This textbook offers a hands-on and accessible introduction to applying machine learning in business settings using R, with a strong emphasis on the tidy ecosystem. Key packages such as tidyverse, tidymodels, and tidytext provide a cohesive and efficient framework for data analysis, modeling, and communication.Balancing theoretical foundations with applied practice, the book introduces mathematical ideas in a clear, intuitive manner, always anchored in realistic business scenarios. Suitable for the classroom and independent research, readers will gain the confidence and tools to apply the tidy ecosystem effectively, from data preparation to modeling to interpretation, enabling reproducible, interpretable, and impactful analytics in dynamic business environments.Bowei Chen
 is a Professor of Business Analytics and Artificial Intelligence at the Adam Smith Business School, University of Glasgow, UK, and the Founding Programme Director of the MSc in Business Analytics programme. He received his PhD in Computer Science from the University College London. His research interests include business analytics, artificial intelligence, machine learning, and data science applications in management, finance, and the social sciences. He has published in leading academic conferences, journals, and books in these fields, and has undertaken international research collaborations and academic appointments across different institutions.
 Tianyuan Huang
 is a Lecturer of Data Science and Big Data Technologies at the School of Data Science, Zhejiang University of Finance &amp; Economics, China. He earned his PhD from Fudan University and has authored three R programming books in China. His current research mainly focuses on quantitative science studies, and he is also dedicated to leveraging data science to rapidly build domain expertise and advance scientific knowledge discovery. In addition to his publications, he supports the R community by maintaining several CRAN packages, such as akc for automated knowledge classification and tidyfst for efficient tidy data manipulation.

A Tidy Approach

Business Analytics with R

HBR Insights Series

A year of HBR's essential thinking on tech--all in one place.AI agents, real-time satellite data, GLP-1 medications, humanoid robots--new technologies like these are changing the business landscape and reshaping organizations at the hybrid office, on factory floors, and in the C-suite. What should you and your company be doing now to take advantage of the new opportunities these technologies are creating--and avoid falling victim to disruption?The Year in Tech 2027: The Insights You Need from Harvard Business Review will help you understand what the latest and most important tech innovations mean for your organization and how you can use them to compete and win in today's turbulent business environment.Business is changing. Will you adapt or be left behind?Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues--blockchain, cybersecurity, AI, and more--each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow.You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas--and prepare you and your company for the future.

The Year in Tech, 2027: The Insights You Need from Harvard Business Review

Toward a deeper understanding of minds, whether natural or artificial, and of how they are studied and built across AI, AGI, and cognitive science. Minds are functional entities that enable intelligent behavior. In On Minds, Paul Rosenbloom offers reflections and perspectives on the study of minds arising from a multi-decade career focused largely on cognitive architectures—hypotheses concerning the fixed structures and processes that yield a mind, whether natural or artificial. Cognitive architectures must be integrative in accommodating the full range of capabilities required of a mind. They must also be general, in applying across many, if not all, problems and domains. This breadth of investigation, across a sequence of three such architectures—XAPS, Soar, and Sigma—and over many years, has inspired a set of reflections on both cognitive architectures and three core disciplines within which such work occurs—artificial intelligence (AI), artificial general intelligence (AGI), and cognitive science. The book’s reflections are of three types. The first explores four concepts critical to understanding minds—architectures, symbols, intelligence, and theories—to provide new perspectives and insights on them. The second rethinks the structure of the space of technologies that underlies work on minds, yielding multidimensional maps that clarify their similarities and differences plus detailed insights into the tradeoffs that exist across both individual technologies and integrated systems—whether symbolic, neural, or hybrid—built from them. The third traces the author’s decades of work on architectures—including cognitive architectures, the Common Model of Cognition, and the nature and structure of computing as a great scientific domain—interwoven with personal reflections and anecdotes.

Reflections of a Cognitive Architect

On Minds

The companies that win with AI won't be the ones that adopt it. They'll be the ones that rebuild around it.
Your old growth playbook is breaking down. AI is collapsing moats, compressing product cycles, and reshaping how customers buy. Meanwhile, your teams are still executing strategies built for a slower, more stable world. Market-Led Growth shows you how to rebuild-fast.
This is not a book of tactics. It's a blueprint for transforming how your company senses shifts in demand, adapts GTM in real time, and scales with the market-not against it. You'll learn how to decentralize decision-making, embed AI into execution, and move capital, people, and priorities at the speed of market signal. If you're serious about building a company that thrives in the AI era-not just survives it-this is your operating manual.

A new operating system for business in the age of AI

Market-Led Growth

AI and Constitutional Law in Europe

Democracy in the Age of Disinformation

AI Innovations in Service and Tourism Marketing

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