Autonomous Infrastructure and Predictive Maintenance: Leveraging AI for Self-Healing Clouds and Financial Planning Optimization

Authors

  • Rahul Vadisetty Electrical Engineering wayne state university Detroit, MI, USA rahulvy91@gmail.com Author

Keywords:

Artificial Intelligence (AI), Autonomous Infrastructure, Predictive Maintenance, SelfHealing Clouds, Financial Planning Optimization.

Abstract

The evolving demands of modern infrastructure and financial planning necessitate the adoption of 
advanced technologies to enhance efficiency, reliability, and responsiveness. This paper explores 
the integration of Artificial Intelligence (AI) for autonomous infrastructure management and 
predictive maintenance, with a focus on self-healing cloud systems and optimization of financial 
planning. The study investigates how AI-driven solutions can transform infrastructure 
management by enabling proactive fault detection, automated repair, and performance 
optimization in cloud environments. Concurrently, it examines the application of predictive 
analytics in financial planning to improve decision-making, risk management, and portfolio 
optimization. The research employs a combination of AI techniques, including machine learning 
algorithms and reinforcement learning, to develop models that address the challenges of dynamic 
and complex systems. Results demonstrate that AI-enhanced self-healing capabilities significantly 
reduce downtime and operational costs in cloud infrastructures, while predictive models improve 
accuracy and efficiency in financial planning. The findings highlight the potential of AI to 
revolutionize both infrastructure management and financial strategies, offering substantial benefits 
in terms of performance, cost-effectiveness, and user satisfaction.

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Published

2024-06-01

How to Cite

Autonomous Infrastructure and Predictive Maintenance: Leveraging AI for Self-Healing Clouds and Financial Planning Optimization. (2024). International Journal of Machine Learning Research in Cybersecurity and Artificial Intelligence, 15(1), 141-178. http://ijmlrcai.com/index.php/Journal/article/view/102

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