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AI Innovations in Service and Tourism
Marketing

AI Innovations in Service and Tourism Marketing

Offers an alternate trajectory for EU copyright law to adequately respond to new forms of creativity

Creative Reuse

Reshaping EU Copyright Law to Support Creativity Online

How the rise of AI agents--and other forms of autonomous intelligence--will transform every aspect of how companies create value and compete.Companies have long operated with a basic assumption: intelligence is scarce. Talent is limited, expertise is expensive, and good judgment is hard to scale. But that world is ending.AI agents are bringing a new form of labor into the enterprise--one that can work autonomously, learn continuously, and scale instantly. Their embodied counterparts, from drones to humanoid robots, are doing the same in the physical world. Together, these systems are introducing a new economic reality: cognition is becoming cheap, elastic, and abundant.In Abundant Intelligence, Deloitte's Nitin Mittal and futurist Mike Walsh show what happens when intelligence becomes cheap and widely available. Drawing on inside access to the people leading AI transformations at the world's most powerful companies, they uncover how this shift is challenging every assumption about strategy, productivity, and leadership, and what organizations must do now to stay ahead.As abundance becomes the new normal, the leader's job shifts from collecting intelligence to directing it. Those who learn to harness this expanding workforce of digital labor will unlock new levels of speed, creativity, and advantage. For everyone else, the gap will widen fast.

How Digital Labor Will Rewrite the Rules of Business

Abundant Intelligence

WiWi klipp & klar

In Zeiten digitaler Transformation liefert dieses Buch eine schnelle und zugleich fundierte Einführung in alle wichtigen Bereiche der Wirtschaftsinformatik. Aufbauend auf der Struktur der ersten Auflage wurden die Inhalte aktualisiert, erweitert und konsequent an aktuelle Entwicklungen ausgerichtet. Neben bewährten Grundlagen wurden insbesondere Themen wie generative Künstliche Intelligenz, KI-Agenten, NoSQL-Datenbanken, Cloud Resource Management und FinOps sowie aktuelle IT-Governance-Ansätze integriert und praxisnah aufbereitet.&nbsp;Das Buch richtet sich an Studierende und Studieninteressierte aller Fachrichtungen mit Bezug zur Wirtschaftsinformatik ebenso wie an Praktiker*innen, die ihr Wissen gezielt auffrischen und einen Einblick in aktuelle Entwicklungen erlangen möchten. Anschauliche Grafiken, konkrete Beispiele sowie durchgängige Aufgaben mit Lösungen fördern das Verständnis und ermöglichen die direkte Anwendung des Gelernten. Der modulare Aufbau erlaubt einen flexiblen Einstieg in alle Themenbereiche.Der Inhalt<ul><li>Planung und Konzeption von IT-Systemen: Geschäftsprozesse, Datenbanken</li><li>Umsetzung von IT-Systemen: Netzwerke, Cloud-Computing, Digital Business, IT-Sicherheit</li><li>Management von IT-Systemen: IT-Controlling, Business Intelligence, IT-Service Management</li><li>Weiterentwicklung und Zukunftstechnologien: Internet of Things, Virtual/ Augmented Reality, Künstliche Intelligenz, Maschinelles Lernen</li></ul>
 Die Autor*innen
 
 Anett Mehler-Bicher 
 
 und 
 Bernhard Ostheimer 
 sind Professoren für Wirtschaftsinformatik an der Hochschule Mainz.
 Frank Mehler
 lehrt als Professor an der TH Bingen Informatik und Wirtschaftsingenieurwesen sowie Wirtschaftsinformatik an der Hochschule Mainz.
 Nicolai Kuntze
 lehrt als Professor an der Hochschule Mainz Informatik, insbesondere IT-Sicherheit.
 Lothar Steiger
 ist als Lehrbeauftragter für Wirtschaftsinformatik an der Hochschule Mainz tätig.

In Zeiten digitaler Transformation liefert dieses Buch eine schnelle und zugleich fundierte Einführung in alle wichtigen Bereiche der Wirtschaftsinformatik. Aufbauend auf der Struktur der ersten Auflage wurden die Inhalte aktualisiert, erweitert und konsequent an aktuelle Entwicklungen ausgerichtet. Neben bewährten Grundlagen wurden insbesondere Themen wie generative Künstliche Intelligenz, KI-Agenten, NoSQL-Datenbanken, Cloud Resource Management und FinOps sowie aktuelle IT-Governance-Ansätze integriert und praxisnah aufbereitet.&nbsp;Das Buch richtet sich an Studierende und Studieninteressierte aller Fachrichtungen mit Bezug zur Wirtschaftsinformatik ebenso wie an Praktiker*innen, die ihr Wissen gezielt auffrischen und einen Einblick in aktuelle Entwicklungen erlangen möchten. Anschauliche Grafiken, konkrete Beispiele sowie durchgängige Aufgaben mit Lösungen fördern das Verständnis und ermöglichen die direkte Anwendung des Gelernten. Der modulare Aufbau erlaubt einen flexiblen Einstieg in alle Themenbereiche.

Wirtschaftsinformatik klipp & klar

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

Equips legal professionals and stakeholders with a clear, authoritative, and practical guide to the UK legal treatment of digital payments and tokenised assets. The Law of Digital Payments explores the evolving landscape of UK financial law as it adapts to innovations in digital finance. With fintech disrupting traditional models of value exchange, legal professionals must navigate complex regulatory challenges concerning digital wallets, open banking APIs, smart contracts, decentralised finance (DeFi), and the treatment of tokenised assets under common law. This work delves into how UK courts and regulators are addressing these innovations. It provides clarity on the current legal treatment of payment tokens, security tokens, cryptoassets and non-fungible tokens (NFTs). It also investigates the impact of the Financial Services and Markets Act 2023, the Bank of England's stance on central bank digital currencies (CBDCs), and how the Payment Services Regulations and E-Money Regulations are applied to innovative business models. Drawing upon regulatory guidance, case law, and international developments, the book is designed to help practitioners, regulators, academics, and financial institutions understand and navigate the complex intersection of law and digital finance. This title is included in Bloomsbury Professional's Banking and Finance Law online service.

The Law of Digital Payments

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.

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

Transforming Organizations in the Digital Age

Artificial Intelligence and Sustainable Management

Chapman & Hall/Distributed Computing and Intelligent Data Analytics Series

This book explores the transformative potential of artificial intelligence (AI) and data engineering in shaping the future of smart cities. With the rapid growth of urbanisation, cities are facing complex challenges such as efficient resource management, urban mobility, environmental sustainability, and citizen well-being. It offers authoritative insights and perspectives brought together by leading experts to delve into the latest advancements and applications of AI and data engineering in addressing urban challenges.¿ Includes practical insights, case studies and real-world examples of how AI and data engineering are being applied in smart city initiatives¿ Presents the role of AI in enhancing urban infrastructure, optimizing energy consumption, enabling intelligent transportation systems, and empowering citizen participation.¿ Showcases how AI and data engineering can revolutionise urban landscapes and pave the way for sustainable and intelligent cities¿ Discusses the ethical and privacy concerns related to the use of these technologies in cities, highlighting the importance of responsible and sustainable development.¿ Presents an interdisciplinary approach, exploring the intersection of AI and data engineering with fields such as urban planning, transportation, energy and health.The book is primarily aimed at researchers, practitioners, and students in the fields of computer science, engineering and urban planning. It is also relevant to policymakers, government officials, and other professionals involved in the development and implementation of smart city solutions.

AI and Data Engineering for Smart Cities

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

Platform Supply Chains in the AI Era

This open access book provides a systematic and in-depth analysis of the critical risks inherent in modern platform-based supply chains. Employing rigorous analytical methods, including game theory and advanced, computationally efficient simulation techniques, it delves into three core areas: operational risks, information and data risks, and quality and compliance risks. The book moves beyond traditional supply chain paradigms to address challenges unique to the platform economy. This includes the strategic threat of platforms using seller data to launch competing products, the complex trade-offs in managing third-party product quality, the impact of reactive capacity on quality decisions, and the challenge of optimizing inventory across networks of unprecedented scale.
 
 It is an essential resource for graduate students, academic researchers, and advanced practitioners in the fields of operations management, supply chain management, and information systems. The content is suitable for readers with a graduate-level understanding of these disciplines.

Risk Management

Platform Supply Chains 5

Artificial Intelligence and Sustainable Management: Transforming Organizations in the Digital Age explores how AI is reshaping organizational operations, decision-making, and sustainable development strategies. As AI technologies transition from experimental applications to core components of management practice and public policy, organizations face mounting environmental pressures, social expectations, and economic uncertainty that demand new approaches integrating technological innovation with long-term sustainability.Taking a multidisciplinary perspective, this book examines how organizations can deploy AI to enhance knowledge management, strengthen resilience, and improve governance in complex digital environments. It addresses the transformation of organizational structures and management practices, exploring AI's role in knowledge-based organizations and data-driven decision-making. Critical issues of cybersecurity, ethics, privacy, transparency, and regulatory compliance are examined alongside the cultural and managerial shifts accompanying AI adoption, including digital leadership, workforce development, and change management. The book investigates AI's relationship with the green economy, analyzing how these technologies support climate monitoring and resource efficiency while considering environmental trade-offs. It also explores broader societal implications, including impacts on labor markets and employment structures, before situating AI within global sustainable development frameworks such as the UN Sustainable Development Goals.This book is essential reading for researchers, students, policymakers, and professionals seeking to understand AI's influence on contemporary organizations and societies. Combining conceptual analysis with practical insights, it demonstrates that successful AI integration requires thoughtful leadership, responsible governance, and adaptive organizational cultures capable of navigating the opportunities and challenges of the digital age.

India Studies in Business and Economics

This book presents a comprehensive study that conducts a data-driven performance benchmarking exercise for regional school education systems in India, with a clear focus on highlighting disparities and challenges within these systems, as well as providing targeted policy recommendations for potential improvements. The book conducts an in-depth examination of the educational environment, current status, policies, and interventions across schools. It explores why, despite various national initiatives aimed at improving access to and quality of school education, significant gaps persist across Indian states, particularly in the two most populous states, Uttar Pradesh and Bihar, which face a range of economic challenges.The book evaluates rankings and efficiency variations in school education development and develops a novel nonparametric efficiency-effectiveness framework to analyze the performance of the school education system. In addition to employing a state-of-the-art meta-BoD-RDM framework for constructing a school education development index, the empirical analysis employs a two-stage network Data Envelopment Analysis (NDEA) model using survey-based data from schools in India to compute school-wise efficiency and effectiveness scores. These scores are then integrated with a machine learning-based Random Forest algorithm to identify the key factors behind the observed inter-school variations in school efficiency and school effectiveness. The book also discusses progress in school education development during the COVID-19 pandemic. It identifies several key areas that require policy intervention and urgent attention from educationists and governments. This data-enabled benchmarking and analytical study not only contributes to understanding the current landscape but also supports the formulation of future educational policies aimed at effectively addressing the evolving needs of the school education system in India.

Data-Driven Benchmarking of School Education Systems in India

AI Innovations in Service and Tourism Marketing

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