AI and Machine Learning for Predictive Monitoring in IT Operations

Yash Jani

Abstract: In modern IT operations, anticipating and preventing system failures is critical to maintaining operational continuity and minimizing downtime. Traditional reactive monitoring approaches are needed in complex and dynamic IT environments. This paper explores the application of AI and machine learning (ML) in predictive monitoring for IT operations. We delve into advanced algorithms, data processing techniques, model deployment strategies, and the integration of predictive monitoring within IT infrastructure. Furthermore, we address the challenges of scalability, data quality, and model interpretability and discuss future trends that shape the landscape of predictive monitoring.

Keywords: AI, Machine Learning, Predictive Monitoring, IT Operations, Predictive Analytics, Anomaly Detection, Data Science, IT Infrastructure

How to Cite?: Yash Jani, "AI and Machine Learning for Predictive Monitoring in IT Operations", Volume 12 Issue 12, December 2023, International Journal of Science and Research (IJSR), Pages: 2559-2140, https://www.ijsr.net/getabstract.php?paperid=SR24822171836, DOI: https://dx.doi.org/10.21275/SR24822171836