Vishwanadham Mandala
Biography
Vishwanadham Mandala is a global luminary in Artificial Intelligence (AI) and Machine Learning (ML) in the Automotive industry. Renowned for his technical excellence, innovative mind setup, and strategic leadership, he has made significant contributions to the advancements in many industries, but primarily focuses on the automotive manufacturing industry. His visionary approach ensures that organizations stay ahead in this rapidly evolving technological landscape. Vishwanadham's robust academic foundation combined with continued learning along with unyielding dedication laid the groundwork for his illustrious career. He holds a B.Tech and M.Tech in Computer Science and Engineering from reputable public universities in India, an MS in Data Science from the esteemed Indiana University, USA, and is currently pursuing a Ph.D. in Computer Science. This extensive academic pursuit underscores his commitment to continuous learning and staying at the forefront of technological advancements. These qualities have not only driven his success at Cummins but also throughout his career. Vishwanadham envisions leveraging his AI and ML expertise to drive technological advancements that enhance citizen safety, improve manufacturing processes and address critical challenges in healthcare and environmental sustainability. His strategic focus on impactful technological innovations ensures that he remains a key figure in the continuous evolution of these fields.
Research Interest
He is a global luminary in Artificial Intelligence (AI) and Machine Learning (ML) in the Automotive industry
Abstract
Enabling Sustainable Automotive Manufacturing through Cloud and Agentic AI Integration
The automotive industry is undergoing a transformative shift toward sustainability, driven by increasing environmental regulations, consumer demand for greener products, and global efforts to achieve net-zero emissions. This research explores how the integration of cloud computing and agentic artificial intelligence (AI) can significantly advance sustainable manufacturing practices in the automotive sector. Agentic AI—defined by its autonomous decision-making capabilities—enables real-time optimization of production processes, energy usage, and resource allocation, while cloud infrastructure ensures scalability, interoperability, and seamless data flow across global operations.
The paper investigates the synergistic role of cloud platforms and intelligent agents in reducing carbon footprints, enhancing supply chain visibility, and enabling predictive maintenance and waste minimization. Through case studies and system architecture analysis, we illustrate how cloud-agentic ecosystems facilitate adaptive, data-driven manufacturing models that respond dynamically to environmental and operational variables. The study concludes with strategic recommendations for automotive manufacturers seeking to embed sustainability at the core of their digital transformation journey.
