Telemetry, a 19th Century concept with 21st Century application continues to expand its horizons with technology enablement.
Expectations on reliable data and decision making based on data have increased but the environments in which telemetric devices operate remain as hostile as ever.
In applications where reports are compiled from time series data emanating from telemetric devices,
erroneous or missing data points undermine the accuracy and usage of these reports.
Introducing Ovidius Smart Data, Sidero has harnessed machine learning techniques to auto-correct and compensate for erroneous or missing data points,
providing the means for reliable and accurate reports.