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