While artificial intelligence (AI) simulates human intelligence in machines, machine learning (ML) enables systems to learn from data without explicit programming. In marketing and supply chain management, AI and ML empower businesses to analyze consumer behavior, personalize experiences, optimize advertising strategies, forecast consumer demands, manage inventory, plan routes, and mitigate risks. Businesses can enhance efficiency, accuracy, decision-making, customer engagement, and cost-effectiveness when integrating AI and ML in marketing and supply chain operations. Further research is necessary to drive success in the dynamic marketplace. AI and Machine Learning Applications in Supply Chains and Marketing bridges the gap between theoretical knowledge and practical application of AI and ML in marketing and supply chain management. It examines emerging technologies that can revolutionize industries by transforming business operations. This book covers topics such as data analysis, sustainable development, and blockchain, and is a useful resource for business owners, economists, marketing professionals, engineers, computer scientists, academicians, and researchers.

Artificial Intelligence and Knowledge Processing: Methods and Applications demonstrates the transformative power of Artificial Intelligence (AI) in our lives. The book is a collection of 14 edited reviews that cover a wide range of topics showcasing the application of AI and machine learning to create knowledge, and facilitate different processes. The book starts by illuminating how AI is employed in robotics, IoT, marketing, and operations. It showcases how AI extracts insights from big data, optimizes museum management, and empowers automated garden path planning using reinforcement learning. The book also explores how AI can be used to predict heart disease using artificial neural networks. Furthermore, the book underscores how AI predicts crop suitability, manages crop systems, and can even help to detect violence in using computer vision. Chapters highlight specific techniques or systems such as recommendation systems and reinforcement learning where appropriate. Key Features: · Showcases a wide range of AI applications · Bridges theory and practice with real-word insights · Uses accessible language to explain complex AI concepts · Includes references for advanced readers This book is intended as a guide for a broad range of readers who want to learn about AI applications and the profound influence it has on our lives.

This book brings forth the fundamental understanding of the role of Industry 4.0 technologies in sustainable manufacturing supply chain. Readers will get an overview of the challenges, opportunities, and requirements for the implementation of digital technologies and how they can support manufacturing supply chains to be sustainable. The book presents many applications of Industry 4.0 including integration of IoT, AI, Big Data, Blockchain, Procurement 4.0, Logistics 4.0, and Lean 4.0 in different contexts. The book therefore provides a platform for researchers, academicians, and professionals from diverse backgrounds to gain state-of-the-art knowledge for using Industry 4.0 in sustainable manufacturing supply chains. Readers will also be able to identify the practical significance and opportunities for future work directions.

Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately. Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior.

Connected customers, using a wide range of devices such as smart phones, tablets, and laptops have ushered in a new era of consumerism. Now more than ever, this change has prodded marketing departments to work with their various IT departments and technologists to expand consumers’ access to content. In order to remain competitive, marketers must integrate marketing campaigns across these different devices and become proficient in using technology. The Handbook of Research on Innovations in Technology and Marketing for the Connected Consumer is a pivotal reference source that develops new insights into applications of technology in marketing and explores effective ways to reach consumers through a wide range of devices. While highlighting topics such as cognitive computing, artificial intelligence, and virtual reality, this publication explores practices of technology-empowered digital marketing as well as the methods of applying practices to less developed countries. This book is ideally designed for marketers, managers, advertisers, branding teams, application developers, IT specialists, academicians, researchers, and students.

A supply chain comprises different actors existing in different countries, including suppliers, producers, and customers. Clothes are supplied from Asia to all other regions; most coffee beans are supplied from South America; and cocoa is produced in Africa. Protecting the rights of people who produce goods in different countries is essential. In fact, according to this evolutionary law, companies need to identify, analyze, and prioritize the risks in their supply chains, and new policies must be established based on these results. New measures are taken to prevent or minimize violations of human rights and damage to the environment. Companies also need to set up grievance channels for people in the supply chains for regular reporting on supply chain practices. The German Supply Chain Act gives consumers the security that companies are managed based on fair production, and many similar legislations are likely to follow in other nations. Businesses around the world must prepare for these types of policies to impact their own supply chain management strategy before they are enforced if they wish to avoid revenue-impacting delays. Government Impact on Sustainable and Responsible Supply Chain Management is edited by Atour Taghipour, with about a decade of experience as a director in Automobile and High-Tech Industries, provides new and innovative ways to integrate social and environmental analysis into global value chains and adapt the law that regulates corporate responsibility for the observance of sustainability and human rights in the supply chain. This book is ideal for professionals and researchers working in governmental and private organizations in supply chain management, operations management, logistics, and operations research. Moreover, the book provides insights and support for executives in managing expertise, knowledge, information, and organizational development in different work communities and environments.

Artificial Intelligence (AI) is transforming the world as we know it, but it can also be complex and difficult to understand. In Conversations with ChatGPT: The Journey to Artificial Intelligence, readers are taken on a journey through the world of AI, exploring its history, development, and potential to transform every aspect of our lives. Written in a conversational style, this book brings the reader into the world of AI through engaging and informative discussions with ChatGPT, a large language model trained by OpenAI. From the origins of AI and machine learning to the evolution of natural language processing and computer vision, readers will gain a comprehensive understanding of the technology that is changing our world. In addition to exploring the technical aspects of AI, Conversations with ChatGPT also delves into the ethical and social implications of this technology. From issues of bias and fairness in AI systems to the impact of AI on the job market and the environment, readers will gain a deeper understanding of the challenges and risks associated with the development and deployment of AI. Throughout the book, ChatGPT provides insights and perspectives on the opportunities and challenges of AI, drawing on the latest research and developments in the field. With a focus on the future of AI and its potential to transform our lives, Conversations with ChatGPT offers a thought-provoking and engaging look at one of the most exciting and transformative technologies of our time. Suitable for readers with varying levels of technical knowledge, Conversations with ChatGPT is an essential guide to the world of AI, and an insightful and engaging exploration of the possibilities and challenges of this rapidly evolving technology.

This book highlights the analytics and optimization issues in industry, to propose new approaches, and to present applications of innovative approaches in real facilities. In the past few decades there has been an exponential rise in the application of artificial intelligence for solving complex and intricate problems arising in industrial domain. The versatility of these techniques have made them a favorite among scientists and researchers working in diverse areas. The book is edited to serve a broad readership, including computer scientists, medical professionals, and mathematicians interested in studying computational intelligence and their applications. It will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of Artificial Intelligence and Industrial problems. This book will be a useful resource for researchers, academicians as well as professionals interested in the highly interdisciplinary field of Artificial Intelligence.

Artificial Intelligence (AI) is evolving at an unprecedented rate, changing industries and reshaping social landscapes. However, the question still stands: how can we make sure that, even with this growth, AI stays ethical and trustworthy? In an effort to investigate this issue, the book Trustworthy Artificial Intelligence in Industry and Society provides a thorough analysis of AI's potential to promote resilience, accountability, and trust in a variety of contexts. Chapter 1 explores the essential need for transparent and interpretable AI systems, starting with the foundation of Explainable Artificial Intelligence (XAI) and laying the framework for fostering trust among users, stakeholders, and society at large. In Chapter 2, deep learning and machine learning are explored, along with their applications, methods, and implementation challenges. In Chapter 3, the book delves into the impact of artificial intelligence (AI) on Environmental, Social, and Governance (ESG) initiatives. It specifically highlights the applications of AI in the financial services and investment sectors. We look at the adoption and application of AI in the construction sector in Chapter 4, offering some insight into the drivers, patterns, and obstacles that will shape the technology's future. The use of AI to improve supply chain sustainability and revolutionize the transportation industry is covered in Chapters 5 and 6, with a focus on generative AI technologies and ethical issues. Chapter 7 explores how artificial intelligence is affecting customer relationship management, highlighting how sentiment analysis is transforming customer loyalty and experience. This book seeks to shed light on the opportunities and difficulties that artificial intelligence (AI) brings to business and society by exploring these areas.