Webinar
Analyzing Sensor Data in Real-Time
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.
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.
