This book explores the application of data- and model-centric AI for Industry 5.0 Solutions, vital in the evolving manufacturing landscape. It delves into data-centric AI, focusing on data collection, processing, and analysis for informed decision-making and operational optimization. Additionally, it examines model-centric AI, showcasing advanced machine learning models for predictive maintenance and demand forecasting, adapting to dynamic conditions. Through practical insights, it illustrates AI's role in enhancing Industry 5.0 processes, offering valuable knowledge for professionals and scholars alike. This book:Emphasises compact and robust solutions, addressing challenges in resource-constrained environments. Explains how the most recent advances in artificial technology have opened the way for new breakthroughs in the supply chain industry, cloud computing, IoT based system etc. Discusses demand forecasting AI models which analyze historical sales data and external factors to predict future product demand, optimizing inventory management and production planning. Presents models for collecting, processing, and analyzing large volumes of data from various sources, such as sensors, machines, production processes, and the supply chain. Explains developing and deploying sophisticated machine learning models to predict outcomes, optimize processes, and adapt to changing conditions in Industry 5.0 environments. This reference book is a valuable resource for researchers and scholars interested in AI for Industry 5.0 Solutions.
