In a recent article published on opentext.com, it was highlighted how unplanned #equipment ₹downtime presents a critical challenge across industries such as manufacturing, healthcare, and energy. The consequences of these unexpected interruptions extend beyond temporary delays, leading to missed deadlines, elevated costs, safety risks, and substantial financial losses.
The article emphasizes that #predictive #maintenance, an #AI-driven solution, is transforming how businesses address this issue. By leveraging real-time data from IoT sensors, machine performance logs, and other system inputs, predictive maintenance enables early identification of potential equipment failures. This #technology allows companies to proactively #schedule #repairs before failures occur, thereby reducing downtime and mitigating costly disruptions.
With its ability to enhance operational efficiency, predictive maintenance is becoming an essential strategy for industries striving to maintain productivity and safety standards.
