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Gesamtkatalog

Catalogue complet

Huyen C: AI Engineering

AI Engineering

Building Applications with Foundation Models

Springer Proceedings in Business and Economics

This open access book presents the latest findings of researchers from around the globe who presented their work at the 12th International Conference of Strategic Innovative Marketing and Tourism (ICSIMAT) in 2025. It provides an up-to-date information and discusses current trends, issues, and debates, both theoretical and practical research, on strategic innovative marketing and tourism and applications from social media and emerging technologies in Artificial Intelligence and the Internet of Everything. Topics covered in the chapters include social media in marketing and tourism hospitality, culture, strategic tools, and techniques employed and implemented by some of the top research laboratories in the world to the industry. This book brings together work from both academia and industry and continues the successful impact of the previous years' conference on the academic discussion of the topics.
&nbsp;

Navigating Global Trends and Managing Challenges —12th ICSIMAT, Olympus Riviera, Greece, 2025

Strategic Innovative Marketing and Tourism

Taylor and Francis Proceedings in Environmental Science and Engineering

This proceedings compilation presents groundbreaking contemporary research on digital transformation and its profound impact on industries, institutions, and societies. Through 67 peer-reviewed papers, this volume takes a multidisciplinary approach and delves into technological change, sustainability, and innovation in the digital era.The contributions span artificial intelligence applications, sustainable business practices, fintech and digital finance, technology adoption, innovation and entrepreneurship, human resource transformation, governance, and digital education systems. Several studies examine AI-enabled decision-making, automation, data-driven strategy, and emerging digital infrastructures, while others explore sustainability transitions, inclusive development, financial inclusion, and policy frameworks in technology-mediated environments. The collection also features empirical analyses, conceptual models, technical innovations, and sector-specific case studies from diverse regional contexts. Together, these papers document current research directions, practical implementations, and strategic responses shaping organizations and economiesThis book is intended for researchers, scholars, and professionals engaged in digital transformation, innovation, and technology management. It serves as a reference for academics, industry leaders, policymakers, and research institutions seeking current evidence, interdisciplinary perspectives, and emerging insights into technological change and its organisational, economic, and societal implications.

Sustainable Innovations in Management in the Digital Transformation Era

We're living through a transformation as profound as electricity or the printing press, yet AI often feels more like hype than help. With clear language, vivid illustrations, and humor, veteran AI researcher Sairam Sundaresan unpacks machine learning, natural language, computer vision, and recommender systems, showing how they drive the tech we use daily. You'll learn how AI works, where it appears, and how to make smarter choices about its role in your life and work. In two parts, the book moves from core concepts to real applications while debunking myths and stripping away buzzwords.

An Illustrated Introduction

AI for the Rest of Us

Transforming Tourism and Hospitality: AI-Powered Service Delivery Innovations explores the profound impact of Artificial Intelligence, IoT, and emerging technologies on the tourism and hospitality industry. This edited volume presents scholarly insights and real-world case studies on AI-driven customer service, sustainable operations, smart maintenance, fraud detection, dynamic pricing, and enhanced guest security. It examines tools like VR, blockchain, and AI-powered HR systems, emphasizing ethical adoption and human-AI collaboration. With robust empirical validation and practical examples, the book offers a valuable resource for academics, professionals, and policymakers seeking to understand and implement AI innovations in service delivery across the sector.

AI-Powered Service Delivery Innovations

Transforming Tourism and Hospitality

A Comprehensive Introduction

Financial Technology

Contributions to Economics

This book examines the revolutionary impact of artificial intelligence (AI) on communication and collaboration. In recent years, advances in large language models and deep learning have enabled seamless human communication across diverse languages and even with other species, such as dogs and humpback whales. AI is also unlocking the language of plants, including tomatoes and the 'wood wide web.'
The book explores how technologies in natural language processing, image recognition, audio analysis, and network analysis facilitate unprecedented fuzzy data analysis. This progress is crucial for promoting sustainability and addressing climate change by uncovering patterns in complex environmental data that inform sustainable practices and policies. The book further focuses on studying interspecies communication, where AI technologies decode communication patterns between humans and other species, allowing a better understanding of the natural world. It highlights how plants can capture human emotions, enhancing well-being and productivity.
Presenting empirical applications and case studies, the book analyzes societal, economic, and ecological implications, advancing theoretical insights, and introducing innovative methods. It will appeal to an interdisciplinary audience of scholars, students, and researchers in the social sciences, economics, business, sociology, psychology, environmental studies, and media and communication who are interested in a deeper understanding of how artificial intelligence and interspecies communication can contribute to building a sustainable future.&nbsp;

Connecting Species

Artificial Intelligence and Networks for a Sustainable Future

Synthesis Lectures on Digital Circuits & Systems

This book is about the Arduino microcontroller and the Arduino concept. The visionary Arduino represented a new innovation in microcontroller hardware in 2005, the concept of open source hardware, making a broad range of computing accessible for all.

This book, "Arduino V: AI and Machine Learning," second edition, is an accessible primer on Artificial Intelligence and Machine Learning for those without a deep AI and ML background. The author concentrates on Artificial Intelligence (AI) and Machine Learning (ML) applications for microcontroller–based systems. The intent is to introduce the concepts and allow readers to practice on low cost, accessible Arduino hardware and software. Readers should find this book a starting point, an introduction, to this fascinating field. A number of references are provided for further exploration.

Arduino V: Machine Learning, 2ed

Explore how Artificial Intelligence (AI) is driving the evolution of product management through a unified approach to data. Written as a practical guide, this book equips modern product managers with the tools to harness AI and data to design, build, and scale innovative products. 
Through actionable frameworks and real-world examples, you'll learn to define impactful AI problem statements and evaluate financial ROI and feasibility. Beyond strategy, this book addresses data operating model challenges such as data quality, system integration, adoption barriers, ethics, and governance. You’ll be introduced to a practical framework for Trustworthy AI, one that combines sound data practices, ethical principles, and responsible governance with real-world product management tools.
Whether you are at a startup experimenting with AI or leading transformation in a global enterprise, AI Meets Strategy is your roadmap to building AI-enabled products that people believe in.
What You Will Learn
<ul>
<li>Adopt an AI-first mindset, where AI is central to product strategy.

</li><li>Design sustainable systems that balance innovation with societal impact.

</li><li>Craft enterprise-wide AI strategies that align with business goals, governance standards, and ethical principles 




Who This Book is For

Aspiring to senior Product Managers
</li></ul>

A Product Manager’s Guide to Leading Innovation

AI Meets Strategy

Advances in Spatial Science

As cities evolve at unprecedented speed and scale, traditional digital twins—virtual models of physical urban systems—fall short in capturing the dynamic and complex nature of urban life. This book bridges the gap between digital urban representations and the dynamic processes that shape our cities.Moving beyond conventional data and technological infrastructure, this work formulates a comprehensive framework for embedding urban dynamics and complexity into digital twins. It reimagines them as living systems that adapt, learn and evolve in real time, near real time and over the long horizon. Through integrated feedback loops between data, physical infrastructure, high-dimensional models and reduced-order approximations, digital twins are transformed into powerful tools for the modeling, simulation, prediction and proactive management of urban development.This book presents cutting-edge methods to learn, simplify and encode urban dynamics and complexity into digital twins—whether or not the underlying mechanisms are fully understood. It also addresses critical challenges such as scalability, uncertainty propagation, network sensing and data quality, and demonstrates how dynamic digital twins can be continually refined through new information and emerging insights.At the intersection of urban theory, artificial intelligence, machine learning and big spatiotemporal data, this book charts a new course for the modeling and governance of cities. It is a vital resource for researchers, practitioners and decision-makers across disciplines—inviting collaboration between academia, industry, government and professionals working on the frontlines of our ever-changing urban environments.Explore a bold vision for cities that can think, adapt and respond—one where digital twins become not just mirrors, but engines of transformation.

Modeling Urban Dynamics and Complexity

Digital Twins of Cities

A roadmap for business leaders to unlock the full potential of data, machine learning, and artificial intelligenceNinety-nine percent of businesses surveyed say that data and AI are a top priority--but two-thirds admit to feeling stuck. What most leaders miss is that to succeed at becoming a data-driven business requires developing a nuanced understanding of why data holds such transformative power, what a data-inspired culture looks like, and how to get there.Data Inspired shows that the secret isn't to be more data-driven--it is to become data-inspired. This book reveals the crucial strategic distinction between using data to optimize existing operations and using them as a catalyst for deep transformation and innovation. Wernicke argues that success hinges less on technology and more on reshaping an organization's culture and decision-making habits. And with this book's proven principles, real-world examples, and comprehensive toolbox of methods for building a culture of evidence-based inquiry, readers will learn that success means far more than just adding more data to a business: it is about creating a thoroughly data-inspired organization with innovative work methods, new structures, and unmatched efficiency.Data Inspired will help business leaders, managers, and data professionals move beyond incremental improvements to achieve lasting, powerful change.

Building an Organizational Culture of Inquiry for Lasting Transformation

Data Inspired

Dynamic Modeling and Econometrics in Economics and Finance

Nonlinear models have become indispensable in modern finance and economics, yet their reliance on numerical root-finding methods introduces layers of complexity that demand rigorous attention. This second volume of the two-part series offers a comprehensive and accessible guide to tackling these challenges and applying advanced econometric techniques to real-world financial and economic time series data.
Designed for students, professionals, and researchers with a solid foundation in statistics, econometrics, and finance, this book bridges the gap between theory and practice. Concepts are introduced progressively, making it suitable for both intermediate and advanced readers. Each chapter is written in clear, approachable language, ensuring that even those with limited prior experience can grasp and apply the material effectively.
Key Topics Include:
<ul>
<li>Fundamentals of Non-Linear Dynamics</li>
<li>Endogeneity in Econometric Models</li>
<li>Asymmetric Pricing</li>
<li>Physics-Inspired Gravity Models in Economics</li>
<li>Artificial Intelligence and Machine Learning for Fraud Analytics</li>
</ul>
With practical examples, source code, and interdisciplinary insights, this volume empowers readers to navigate the complexities of nonlinear econometric modeling and apply cutting-edge techniques to contemporary challenges in finance and trade.

Empirical Applications and Source Code

Non-Linearity in Econometric Modeling, Vol. 2

Mathematical Methods in the Digital Age

Data science, quantitative analysis, computer optimisation, and machine learning are all explored in this book. Insightful mathematical analysis of ML models is presented in this work. Various fields, including healthcare, banking, and e-commerce, are covered in this book through case studies. To choose features, hyperparameters, and models, the latter shows how optimisation can be implemented. Practical insights on the assessment and improvement of machine learning models in real-world situations, such as e-commerce, healthcare, banking, and agriculture, are included. Professionals in the fields of research, engineering, mathematics, and computer science are the target audience for this book. Through the integration of theoretical principles with&nbsp;practical applications, the usage of computational optimisation techniques in real-time settings is to be enhanced.&nbsp;

Machine Learning and Fuzzy Systems

Computational Optimization

AI Engineering

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