Time-series data in Operational Technology (OT) refers to data points collected over time from sensors, industrial machines, and control systems. This type of data is essential in industries such as manufacturing, energy, and logistics for monitoring real-time operations and predicting future trends.
Time-series data is crucial for applications such as predictive maintenance, process optimization, and anomaly detection. It enables industries to track patterns, detect irregularities, and make data-driven decisions to enhance productivity and reduce downtime.
By leveraging time-series databases and AI-driven analytics, organizations can gain valuable insights into equipment health, energy consumption, and production efficiency, ultimately driving smarter decision-making in industrial settings.