The volume of sensor data being generated is rapidly increasing. This data can be used to gain valuable insights into various systems, such as monitoring the health of industrial equipment, tracking the movement of vehicles, and detecting patterns in financial transactions. However, the opportunities are often perishable necessitating that the data be analyzed and acted on in real-time.
In this webinar, Insights Industry Editor Joe McKendrick and Kinetica President Amit Vij discuss:
Various techniques and technologies used for real-time analysis of sensor data, including data streaming, time series analysis, spatial analysis, and machine learning.
Common use cases for real-time sensor data analysis, including asset tracking, telco network optimization, and real-time trading.
