Leveraging Cloud Computing for Enhanced Automotive Performance and Real-Time Data Analytics

Authors

  • Sujan Das,Shib Shankar Golder,Somnath Mondal

Keywords:

Cloud Computing, Automotive, Big Data Analytics, Predictive Maintenance, Real Time Processing, Edge Computing, Connected Vehicles, K-Means Clustering, Fault Detection, Operational Efficiency, Fuel Optimization, Scalable Automotive Solutions.

Abstract

Cloud computing is revolutionizing the automotive industry by enabling real-time data processing, enhanced connectivity, and scalable solutions for performance optimization. This study investigates the integration of cloud-based platforms with Big Data analytics, edge
computing, and advanced machine learning methods to manage and analyze extensive vehicle data for predictive maintenance and operational efficiency

References

Machireddy JR. Leveraging Robotic Process Automation (RPA) with AI and Machine Learning for Scalable Data Science Workflows in Cloud-Based Data Warehousing Environments. Australian Journal of Machine Learning Research & Applications. 2022 Dec 19;2(2):234-61.

Singh P. Revolutionizing Telecom Customer Support: The Impact of AI on Troubleshooting and Service Efficiency. Asian Journal of Multidisciplinary Research & Review. 2022;3:320-59.

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Published

2022-12-01

How to Cite

Sujan Das,Shib Shankar Golder,Somnath Mondal. (2022). Leveraging Cloud Computing for Enhanced Automotive Performance and Real-Time Data Analytics . Journal of Computational Analysis and Applications (JoCAAA), 30(2), 422–438. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1970

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