Trained Data Collection Agent for Telemetry Prioritization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Human-centered technical support is often required for complex issue resolution due to gaps in artificial intelligence generalization and data collection, with technical support agents struggling to utilize large volumes of telemetry data that may not clearly indicate relevant information for issue resolution.
Innovation Solution
An apparatus with a processing device configured to implement a data collection agent trained on telemetry data specifications, generating queries to obtain relevant telemetry data and presenting it to users via a graphical user interface, utilizing a prioritized data collection agent (PDCA) to efficiently collect and prioritize telemetry data for technical support issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all telemetry data is collected to ensure complete information for issue resolution, then measurement precision is improved, but loss of time increases due to the large volume of data requiring review
Solution Approach 1:
The patent extracts and collects only the specific telemetry data points relevant to the technical issue at hand, rather than collecting all available telemetry data. The data collection agent identifies and retrieves only the necessary parameters based on the issue type, device configuration, and diagnostic requirements, thereby reducing the volume of data that technical support agents must review while maintaining measurement precision for the relevant parameters.
Solution Approach 2:
The patent segments the telemetry data collection process into targeted categories based on the technical issue being diagnosed. Different issue types trigger collection of specific subsets of telemetry data (e.g., performance metrics for slow operation issues, error logs for failure issues). This segmentation allows complete information gathering for each specific problem type without the overhead of collecting and reviewing all possible telemetry data.
2Measurement precision
If comprehensive telemetry data is collected to ensure accurate diagnosis, then measurement precision is improved, but device complexity increases due to the data collection infrastructure
Solution Approach 1:
The patent introduces a data collection agent as an intermediary component that simplifies the telemetry data collection process. This agent acts as a mediator between the technical support system and the source device, automatically identifying which telemetry data points are needed based on the issue type and collecting only those specific parameters. This intermediary layer reduces the complexity of the overall data collection infrastructure while maintaining diagnostic accuracy.
Solution Approach 2:
The data collection agent operates autonomously to identify and collect relevant telemetry data without requiring complex manual configuration or intervention. The agent self-determines the appropriate data points to collect based on the technical issue being diagnosed, reducing the operational complexity of the data collection system while ensuring comprehensive gathering of necessary diagnostic information.
3Productivity
If automated data collection is implemented to reduce manual effort, then productivity is improved, but loss of information increases if relevant telemetry data is not properly identified
Solution Approach 1:
The patent implements feedback mechanisms where the data collection agent continuously refines its understanding of which telemetry data points are relevant based on diagnostic outcomes and issue patterns. The system learns from previous diagnostic cases and adjusts its data collection strategy accordingly, ensuring that automated collection captures the most relevant information while improving issue resolution speed. This feedback loop prevents information loss by adapting to the specific requirements of each diagnostic scenario.
Data Source
AI summary
An apparatus comprises at least one processing device that is configured to implement a data collection agent and obtain a telemetry data collection specification. The at least one processing device is configured to train the data collection agent based at least in part on the telemetry data collection specification and to obtain an issue description corresponding to a technical support issue associated with a source device of an information processing system. The at least one processing device is configured to generate a telemetry data collection query based at least in part on the obtained issue description using the trained data collection agent and to submit the query to the source device. The at least one processing device is configured to obtain from the source device, telemetry data generated based at least in part on the query and to present the telemetry data to a user via a graphical user interface.