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Trends in Business Process Modeling and Digital Marketing: Case Studies and Emerging Technologies explores how cutting-edge technologies transform business processes and digital marketing strategies across industries. The book highlights practical applications of AI, VR, and data analytics through case studies in sectors like feminine hygiene, fintech, travel, and retail. It emphasizes the importance of customer-centric approaches and data-driven decision-making, providing actionable frameworks for personalization, audience targeting, and operational efficiency. Ideal for professionals, entrepreneurs, and researchers, this resource bridges theory and practice, offering insights into how emerging digital tools can drive growth and optimize workflows in a rapidly evolving marketplace. Key Features: - Real-world examples from diverse industries illustrate how digital marketing and process innovations are applied effectively. - Practical insights on leveraging AI, VR, AR, and the metaverse for marketing, customer engagement, and efficiency. - Scenario-based frameworks offering solutions for targeting, segmentation, and strategic decision-making. - Sector-focused tourism, retail, and finance insights addressing unique challenges and technological applications.

This book explores the transformative impact of the Internet of Things (IoT) on business innovation and marketing strategies. It delves into how IoT is disrupting traditional approaches and creating new opportunities for businesses to thrive in a rapidly evolving technological landscape. The book begins by introducing IoT in marketing and its role in shaping modern business practices. It discusses how IoT is revolutionizing key aspects of the marketing mix, including product development, pricing strategies, promotion, and distribution channels. Readers will gain insights into how IoT integrates with marketing strategies to enhance customer experiences and improve decision-making through data-driven approaches. The book also examines IoT`s role in market research and highlights its transformative potential in specialized industries, such as smart manufacturing for fashion firms. By providing practical applications and real-world examples, this guide serves as an essential resource for professionals, researchers, and students seeking to understand IoT`s role in business innovation.

Industrial Internet of Things: An Introduction explores the convergence of IoT and machine learning technologies in transforming industries and advancing economic growth. This comprehensive guide examines foundational principles, innovative applications, and real-world case studies that showcase the power of IoT-enabled intelligent systems in enhancing efficiency, sustainability, and adaptability. The book is structured into five parts. The first part introduces industrial IoT concepts, including algorithms, deep learning prediction models, and smart production techniques. The second section addresses machine learning and collaborative technologies, focusing on artificial neural networks, and AI`s role in healthcare and industrial IoT. Subsequent chapters explore real-world applications, such as IoT adoption in healthcare during COVID-19 and intelligent transportation systems. The final sections address advanced IIoT progressions and the role of IoT in energy production using byproducts. Key Features: - Foundational concepts and algorithms for industrial IoT. - Integration of machine learning in IoT systems. - Case studies on healthcare, transportation, and sustainability. - Insights into energy production using IoT.