Enhancing Automotive Performance and Real-Time Data Analytics through Cloud Computing

Authors

  • RamMohan Reddy Kundavaram, Abhishake Reddy Onteddu

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

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

Downloads

Published

2023-07-14

How to Cite

RamMohan Reddy Kundavaram, Abhishake Reddy Onteddu. (2023). Enhancing Automotive Performance and Real-Time Data Analytics through Cloud Computing . Journal of Computational Analysis and Applications (JoCAAA), 31(4), 1382–1392. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3030

Issue

Section

Articles