A.V. Senthil Kumar - Böcker

As climate change is affecting economies and markets globally, environmental sustainability is becoming more crucial. Sustainability emphasizes the equality of future generations and is typically seen to have three components: an environmental, an economic, and a social component. Because attaining environmental sustainability also involves risks that might influence corporate operations and prospects in a strongly competitive market, thriving markets and environmental deterioration cannot coexist.Business practices are being drastically altered and improved using AI and machine learning (ML), a branch of AI that enables autonomous machines. Big data can assist AI to automatically learn and acquire knowledge to assist managers in achieving their practical and technical objectives. AI brings new methods for conducting business, finding new chances in the global market, and executing work.Using AI to Develop Sustainability Strategies for a Changing Global Economy focuses on novel ideas and research for providing a broader outlook on sustainability in business. The book Focuses on how to reduce environmentally destructive investment patterns and activities. Discusses sustainable recovery policies using AI to build back better. Presents how businesses of the future operate, augmenting industry resources with the alliance between AI and sustainable business outcomes.Presenting novel ideas for creating robust sustainability strategies, the book explores answers to the moral and ethical questions about using AI in decision-making, cyber-security, and resource management. With insight into developing efficient mechanisms to facilitate a circular economy, the book provides solutions that link the needs of the present generation without disadvantaging coming generations.

Generative AI algorithms have become transformative forces in today’s digital landscape, revolutionizing industries from healthcare and finance to creative arts and software development by enabling machines to create human-like content, automate complex tasks, and generate innovative solutions at unprecedented scale and speed. These applications are driving significant productivity gains across organizations, with AI-powered tools like large language models, image generators, and code assistants helping professionals streamline workflows, enhance creativity, and solve problems that were previously time-intensive or required specialized expertise. The strategic importance of Generative AI extends beyond operational efficiency, as it represents a fundamental shift toward intelligent automation that is reshaping competitive advantages, creating new business models, and establishing AI literacy as a critical skill for future workforce success. Generative AI Tools: From Algorithms to Applications is a reference for researchers that consolidates rapidly evolving methodologies, theoretical foundations, and practical implementations. Highlights include:Generative AI tools and the marketing industryA comprehensive overview of ChatGPTChatGPT integration in IoT ecosystemsProviding a structured framework for understanding this complex and fast-moving field, the book enables researchers to build upon established knowledge more efficiently, avoid redundant work, and identify promising research directions by offering systematic coverage of current state-of-the-art techniques, their limitations, and emerging challenges that require innovative solutions. Bridging the gap between theoretical concepts and real-world applications, the book helps researchers understand not only how these algorithms work but also their practical implications, ethical considerations, and potential societal impacts, which is crucial for developing responsible and impactful AI research agendas.

This book aims to provide a comprehensive exploration of the integration of machine learning and deep learning algorithms into the field of autonomous vehicles and advanced driver assistance systems. It also highlights the use of various sensing technologies such as LiDAR, radar, cameras, and ultrasonic sensors.This book presents machine learning techniques relevant to autonomous systems, with a focus on deep learning, neural networks, and reinforcement learning, providing readers with a solid understanding of these foundational concepts. It further includes real-world applications, offering insights into how these cutting-edge techniques are being employed by industry leaders and startups to improve the perception capabilities of autonomous vehicles.It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer engineering, and automotive engineering.

Expanding the Digital Frontiers of Business with AI, Gamification, and Metaverse Marketing explores how organizations can leverage AI to understand customer behavior, optimize pricing strategies, and enhance decision-making processes. By integrating these technologies, businesses can improve their digital presence, engage customers more effectively, and stay ahead of technological advancements in today’s dynamic digital landscape.This edited book offers a glimpse into the future of business, providing innovative methods for market research, product development, and customer interaction. Experts in the field discuss how AI, gamification, and metaverse marketing can spark creativity and drive business growth. In addition, contributions from experts in academia and industry offer diverse perspectives that enhance understanding and foster progressive discussions. By staying informed about the latest developments in digital commerce, readers can position themselves as leaders in the field. This book equips readers with the knowledge and tools needed to navigate the ever-changing landscape of digital business successfully.Whether you’re a seasoned business owner or an industry enthusiast, this book offers valuable insights and practical strategies. For students and research academics, the book offers in-depth analyses of AI, gamification, and metaverse marketing, laying a solid foundation for scholarly exploration. Professionals and executives will find actionable methods and real-world examples to implement creative ideas and maintain competitiveness in a rapidly evolving environment.

Artificial Intelligence (AI) has become part and parcel of many aspects of our lives, impacting how we approach tasks and understand the world around us. This book recognizes the impact that Artificial Intelligence (AI) has on education, computer science, and society. Taking an interdisciplinary approach, it looks at the positive and negative implications and delivers a comprehensive understanding of how the integration of AI is shaping the future of human existence.This book covers twelve topics that reveal the links between AI and humans. The topics range from the transformational role of technology in education to the ethical considerations surrounding AI's application, plus many more. Specifically, it investigates how AI algorithms are pushing the boundaries of inventions in computer science and driving innovations in human-computer interaction and software development, through themes such as 'Computer Science and Technological Frontiers'. It also reflects on the societal impact of AI and offers tools to navigate the changing landscape of technology and humanity. With discussions on the latest advancements in AI and their implications for future innovations, readers of this book will learn of the ethical challenges posed by AI through in-depth analysis, including coverage of equity, privacy, and algorithmic bias.Artificial Intelligence and Human Existence: Insights on Education, Technology, and Society is for researchers, educators policymakers in the fields of human factors, human-computer interaction and computer science, plus anyone interested in the links between AI and human society.

This book will serve as a comprehensive resource for readers interested in utilizing different technologies like fog computing, federated learning, cloud computing, and blockchain in 6G‑enabled systems for addressing security concerns.Key Features: Discusses technologies such as fog computing, federated learning, and blockchain in 6G‑enabled networks to address security threats. Provides in‑depth coverage of fundamental models, architectures, and security frameworks to help readers understand the complex landscape of 6G and the Internet of Things (IoT) security. Covers diverse areas of security frameworks and software‑defined fixes for security problems in 6G and the IoT networks. Presents protocols for authentication and key exchange in 6G and the IoT networks. Highlights the use of the IoT for enhanced biometric authentication in security.This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electrical and communications engineering, telecommunications, and computer science and engineering.

The text discusses the latest research on essential issues and prospects surrounding the deployment of intelligent technologies, such as infrastructural needs, data privacy issues, and legislative considerations. It includes case studies of businesses using innovative technology for sustainable development.This book:Investigates the relationship between intelligent technology and sustainable development, offering a thorough summary of how cutting-edge technological advancements might support an environmentally friendly futureDiscusses the role of using smart technologies in revolutionizing waste collection and recycling systemsExplores ethical considerations in the implementation of smart technology and sustainabilityHighlights latest innovations in smart transportation, and digital twin technologyShowcases the use of smart technologies in areas including energy management, transportation, waste management, water conservation, and healthcareIt is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics, and communication engineering, computer science and engineering, information technology, civil engineering, and environmental engineering.

Business practices are being drastically altered and improved using AI and machine learning (ML), a branch of AI that enables autonomous machines. Big data can assist AI to automatically learn and acquire knowledge to assist managers in achieving their practical and technical objectives. AI brings new methods for conducting business, finding new opportunities in the global market, and executing work.Artificial Intelligence in Action: Transforming Industries and Society focuses on novel ideas and research for providing a broader outlook on AI in business and society. The book:• Reflects the diverse applications of AI, from healthcare and education to finance and e-commerce, while emphasizing sustainability.• Highlights the transformative role of AI in addressing modern challenges across multiple sectors, including public distribution, retail, and human resource management.• Covers the evolution and prospects of AI in achieving sustainable development goals, improving education, and advancing social and economic outcomes.The book explores the innovations, disruptions, and changes that AI is causing in industry and business. It looks at the fast-evolving global changes being wrought by the rise of large-language models, real-time tools for decision-making, and AI-powered analytics. Presenting novel ideas for creating robust sustainability strategies, the book explores answers to the moral and ethical questions about using AI in decision-making, cybersecurity, and resource management. Covering a vast swath of industries from healthcare to retail and education, it highlights the meaningful overall impact of AI by addressing key issues, trends, and future perspectives.