Leveraging Cloud and IoT-Based NLP in Virtual Reality for Sustainable Industry Innovation: A Pathway to Achieving SDG 9 (Industry, Innovation, and Infrastructure)

Abstract

This paper explores the integration of cloud computing, IoT, Natural Language Processing (NLP), and virtual reality (VR) as a pathway to achieving Sustainable Development Goal (SDG) 9, which focuses on fostering industry innovation, building resilient infrastructure, and promoting sustainable industrialization. The convergence of these technologies provides a powerful toolkit for driving the next wave of industrial digital transformation. Cloud platforms such as AWS, Azure, IBM Watson, and Google Cloud offer scalability, flexibility, and efficiency, enabling industries to adopt advanced technologies like NLP and VR without significant upfront capital investment. By leveraging IoT for real-time monitoring and data collection, industries can optimize processes, reduce energy consumption, and enhance predictive maintenance, contributing to sustainability. NLP enables natural and efficient human-machine interaction, automating key processes and improving decision-making. The use of VR allows for immersive simulations that enhance worker training, product design, and infrastructure management, reducing waste and increasing safety. This combination of technologies fosters innovation, inclusivity, and sustainability in industrial operations. The paper highlights practical applications of these technologies, including smart manufacturing, predictive maintenance, and infrastructure monitoring, while emphasizing the role of cloud platforms in democratizing access to advanced tools for industries worldwide. Ultimately, this approach supports the achievement of SDG 9 by enabling more sustainable, resilient, and inclusive industrial practices.