In manufacturing, entrenched challenges like costly maintenance, operational inefficiencies, and product defects loom large, casting shadows over industry progress. Despite the promise of Industry 4.0 and the proliferation of data-driven technologies, many enterprises need help to effectively harness the transformative power of artificial intelligence (AI). The gap between AI's potential and its practical application persists, hindering manufacturing companies from achieving optimal efficiency, competitiveness, and sustainability. Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI is a groundbreaking book meticulously crafted to address the pressing needs of academic scholars and industry professionals. Offering a nuanced exploration of AI's role in revolutionizing manufacturing, this book serves as a beacon of clarity amidst the complexities of modern industrial landscapes. Whether seeking to optimize operational workflows, mitigate risks, or unlock untapped opportunities, this definitive guide offers invaluable insights and actionable strategies to propel manufacturing enterprises into a future of innovation, efficiency, and sustainable growth.

In the dynamic world of manufacturing, the industry has grappled with ongoing issues such as expensive machine maintenance, operational inefficiencies, and the production of defective products. The need for informed decision-making to maintain quality, meet deadlines, and prevent disruptions is more crucial than ever. Enter Using Real-Time Data and AI for Thrust Manufacturing, a groundbreaking book that addresses these challenges head-on. As Industry 4.0 transforms the manufacturing sector through the integration of the Internet of Things (IoT) and artificial intelligence (AI), this book serves as a beacon for academic scholars and industry professionals alike, offering profound insights into the world of AI-driven industry solutions. The objective of this book is clear—to revolutionize the manufacturing sector by leveraging human expertise and AI-driven data technologies. By delving into the realms of Industry 4.0, IoT, and AI, the book systematically tackles issues such as costly downtime, inefficient processes, and the production of substandard products. With a focus on turning raw data into meaningful insights, the book explores AI applications like machine learning and deep learning, natural language processing, and machine vision. From predictive maintenance to improved demand forecasting, quality assurance, inspection, and warehouse automation, the book positions AI as the linchpin of "Industry 4.0," ensuring not only cost savings but also safety improvements and supply-chain efficiencies.

In today's rapidly evolving business landscape, leaders face unprecedented challenges in navigating complex organizational dynamics, fostering innovation, and driving sustainable growth. Traditional leadership approaches often must address these multifaceted issues, leading to stagnation and missed corporate opportunities. The emerging field of Neuroleadership offers a transformative solution by leveraging cutting-edge insights from neuroscience and psychology to revolutionize leadership practices. Neuroleadership Development and Effective Communication in Modern Business is a comprehensive guide to understanding and implementing Neuroleadership principles, offering a groundbreaking approach to leadership development. With topics ranging from stress management and resilience to ethical leadership considerations, this book provides a holistic framework for leadership excellence in the digital age. Whether you're a seasoned executive, a leadership development professional, or a scholar seeking to explore the frontiers of leadership research, this resource is your essential companion to mastering the art and science of Neuroleadership.

Sustainable development is a bigger issue than it has ever been before. The relationship between present needs and future imperatives defines our contemporary challenges, especially within the realms of societal aspirations, business enterprises, startups, and SMEs. The dynamic nature of today's entrepreneurial landscape, characterized by ceaseless challenges and constant change, underscores the urgency to align strategies with the imperatives of sustainable development. Sustainable Partnership and Investment Strategies for Startups and SMEs examines this issue and the intersection between sustainable development and the practical nuances of navigating the modern entrepreneurial landscape. The book serves as a comprehensive scholarly source, providing in-depth insights into the challenges of formulating strategies for ventures within the framework of Sustainable Development Goals (SDGs). From 'no poverty' to 'Partnerships for the Goals,' it scrutinizes the latest research, theoretical frameworks, and powerful approaches that lie at the heart of sustainable and responsible entrepreneurship. Against the backdrop of a constantly evolving world, the objective of the book comes to the forefront. Today's business and entrepreneurial practices grapple with an ever-changing environment, demanding contemporary and flexible business and investment strategies. Focusing on a select set of SDGs is not just a strategic imperative but a requirement for societal well-being and enduring business success.

Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, and code, to generate novel content. The primary objective is to produce authentic and novel material. In addition, there exists an absence of constraints on the quantity of novel material that they are capable of generating. New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of generative artificial intelligence (AI) stands out due to its unique characteristic of undergoing development and maturation in a highly transparent manner, with its progress being observed by the public at large. The current era of artificial intelligence is being influenced by the imperative to effectively utilise its capabilities in order to enhance corporate operations. Specifically, the use of large language model (LLM) capabilities, which fall under the category of Generative AI, holds the potential to redefine the limits of innovation and productivity. However, as firms strive to include new technologies, there is a potential for compromising data privacy, long-term competitiveness, and environmental sustainability. This book delves into the exploration of generative artificial intelligence (GAI) and LLM. It examines the historical and evolutionary development of generative AI models, as well as the challenges and issues that have emerged from these models and LLM. This book also discusses the necessity of generative AI-based systems and explores the various training methods that have been developed for generative AI models, including LLM pretraining, LLM fine-tuning, and reinforcement learning from human feedback. Additionally, it explores the potential use cases, applications, and ethical considerations associated with these models. This book concludes by discussing future directions in generative AI and presenting various case studies that highlight the applications of generative AI and LLM.

The rapid changes in many dimensions that have occurred in the past decade have resulted in many changes in people’s conditions and lifestyles. The role of technology in facilitating the fastest pace of development in human history remains a major theme of our time, especially as humanity recovers from the most severe pandemic of the century. As tourism recuperates after the COVID-19 pandemic, a growing number of travelers are showing interest in special interest tourism, seeking unique and tailored travel experiences. It is essential that this resurgence prioritizes sustainability, leveraging technological advancements to create eco-friendly travel options, support local communities, and minimize environmental impacts. Special Interest Trends for Sustainable Tourism offers solutions for sustainable tourist practices, strategies, and developments. It provides the most up-to-date information and views regarding the state and special interest trends of the tourism sector in all its dimensions. This book covers topics such as sustainability, ecotourism, and volunteering, and is a useful resource for business owners, travel agencies, hospitality and tourism professionals, academicians, and researchers.

In the years following the global Covid-19 pandemic, existing issues in global supply chains became exacerbated, bringing attention to the need for advancement and innovation to solve the complex problems. We live in an era characterized by relentless technological advancements, global interconnectedness, and evolving consumer demands, and the supply chain management landscape is being forced to undergo profound transformations. Strategic Innovations for Dynamic Supply Chains offers a comprehensive exploration of the paradigm shifts, emerging trends, and groundbreaking strategies shaping the future of supply chain dynamics. Ideal for professionals, academics, and decision-makers navigating the complexities of contemporary supply chain management, the collaborative effort behind this book combines the insights of leading experts, industry visionaries, and innovative thinkers to unravel the complexities of modern supply chain ecosystems and provide a roadmap for organizations seeking to thrive in constant change. It emphasizes the importance of sustainability and responsiveness, and provides strategic frameworks for decision-makers.