Broadband Error Remediation Engine for Deployment Data
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Solution Overview
Problem
Conventional data analytics systems lack the computing infrastructure and logic to intelligently remediate errors in broadband service data, relying on costly and inefficient human intervention and manual review, which cannot scale to support multiple geographical regions.
Innovation Solution
A broadband error remediation engine within a data analytics system that uses an error remediation model and multiple datasets to execute sequential checks and comparisons, identifying corrective actions for incorrect broadband service data features with a confidence score, and communicates these recommendations for automated error remediation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review and human intervention are used to address errors in broadband service data, then measurement precision can be maintained through careful verification, but productivity is severely reduced due to the inability to scale across multiple geographical regions
Solution Approach 1:
The patent creates a virtual copy of the manual review process through an automated error remediation engine that uses machine learning models and multiple data sources to simulate and execute the decision-making logic of human reviewers at scale, thereby maintaining precision while dramatically increasing productivity
Solution Approach 2:
The patent replaces the mechanical human review process with an automated computational system that uses error remediation models, sequential checking logic, and confidence scoring algorithms to perform data validation and remediation tasks automatically, eliminating the need for manual human intervention while preserving accuracy
2Productivity
If automated error remediation systems are implemented to increase productivity and scalability, then data processing speed improves, but device complexity increases due to the need for multiple datasets and error remediation models
Solution Approach 1:
The patent segments the error remediation process into distinct modular components including error detection modules, sequential checking logic, multiple data source integrations, confidence scoring mechanisms, and remediation recommendation engines, allowing each component to be independently developed, tested, and maintained while working together to achieve high productivity
Solution Approach 2:
The patent designs a universal error remediation engine that can handle multiple types of broadband service data errors across different geographical regions using the same core architecture, with the capability to process various data formats and apply consistent remediation logic through configurable parameters rather than requiring separate systems for each error type
Data Source
AI summary
Methods, systems, and computer storage media for providing an error remediation recommendation—for flagged incorrect values in broadband service deployment data—using a broadband error remediation engine in a data analytics system. The error remediation recommendation can identify a corrective action to resolve errors (i.e., incorrect values) in broadband service deployment data. Operationally, the broadband error remediation engine is configured to access broadband service deployment data associated with a plurality of broadband service data features. The broadband error remediation engine uses an error remediation model to and a plurality of datasets to execute a sequence of error remediation operations (e.g., checks and comparisons). Based on executing the sequence of error remediation operations, a corrective action (e.g., change geographic coordinates or remove deployment units) for an incorrect value of a broadband service feature in the broadband service deployment data. An error remediation recommendation associated with the corrective action is then communicated.