Asset intelligence is the use of connected data, analytics, and AI to build a deeper understanding of the condition, performance, usage, and operational context of physical or digital assets. It goes beyond simply collecting sensor readings by combining information from equipment, maintenance records, operational systems, and historical patterns to determine what is happening and what may happen next.
In industrial environments, asset intelligence can help identify deteriorating machinery, explain performance changes, estimate remaining useful life, and recommend maintenance actions. For example, data from a pump’s vibration, temperature, operating load, and maintenance history can be analyzed together to detect developing faults. It commonly combines IoT, asset health monitoring, predictive analytics, digital twins, and machine learning.
