Businesses now have the opportunity to improve productivity, reduce expenses and increase customer satisfaction through the use of telemetry, AI and machine learning. Mining events and symptoms from telemetry data can be a challenge due to rare events and uncertainty. Converting telemetry data to a knowledge graph involves structuring and linking the raw data collected from sensors and devices into a network of entities and relationships. This transformation enables a deeper understanding of the data, facilitating more insightful and context-aware analytics and aiding in informed decision making. Advanced machine learning models such as GMMs and Bayesian total effects models can be used to further enhance predictive maintenance and problem-solving.
Add to Favourites
To login click here