Artificial Intelligence in Data Analytics and Product Lifecycle Management: Current Trends and Future Directions

Abstract

By utilizing Artificial Intelligence (AI), data analytics and Product Lifecycle Management (PLM) are currently undergoing a revolution as it allows making intelligent, data-driven decisions at every step of the product development process. This review addresses the background of AI in analytics, its use in design, manufacturing, maintenance, and sustainability, emerging trends, including the use of AI in creating digital twins, generative design, and integrating Internet of Things. Some of the main challenges such as quality of data, bias in algorithms, interpretability, technological integration, and skills gaps are discussed and strategies to address them are provided. Lastly, future directions show a way to autonomous design, customized products, and optimization of lifecycle sustainability. In general, AI is an innovation, efficiency and competitiveness driver as a strategic enabler in the contemporary product development.