Enhancing Business Resilience: Predicting Hard Disk Failures with Machine Learning for Efficient Resource Management

In today's data-driven business landscape, maintaining the resilience of digital infrastructure is paramount. One most critical components this hard disk drive (HDD). The potential for HDD failures poses a significant risk to data integrity and operational continuity. To address challenge, paper presents an innovative approach enhancing through predictive analysis using machine learning techniques. Our research leverages algorithms predict failures, enabling organizations proactively manage resources mitigate disruptions. By harnessing historical data, system behavior patterns, SelfMonitoring, Analysis, Reporting Technology (S.M.A.R.T.) metrics, our model can accurately forecast when likely fail. This capability empowers optimize resource allocation, reduce downtime, enhance security.