Cross-Channel Identifier Verification for Disparate Network Data
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Solution Overview
Problem
Identifying and correlating data across disparate sources and formats in electronic networks is challenging due to the use of different identifiers, leading to difficulties in data integration and increased network traffic.
Innovation Solution
A system that automatically generates cross-channel identifiers using a large language model to correlate data points, verifies consistency, and applies shared identifiers, with a confidence score mechanism to ensure accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If different identifiers are used in different systems to store data from various sources, then data can be stored in disparate formats and sources, but data correlation and identification across these systems becomes difficult
Solution Approach 1:
The patent introduces a cross-channel identifier as an intermediary element that bridges disparate data sources. This identifier acts as a mediator that links data points from different systems, sources, and formats, enabling correlation without requiring uniform identifiers across all systems. The cross-channel identifier serves as a common reference point that resolves the contradiction by allowing both storage flexibility and data correlation.
2Measurement precision
If manual methods are used to identify and correlate data across different sources, then data accuracy can be maintained, but the process becomes time-consuming and resource-intensive
Solution Approach 1:
The system implements self-service through automated algorithms that perform data correlation without manual intervention. The cross-channel identifier system automatically matches data points across sources using computational methods, eliminating the need for manual data reconciliation while maintaining accuracy. This automation resolves the contradiction by providing both high accuracy and efficient processing through self-executing correlation algorithms.
3Ease of operation
If data is centralized in a single location for easy correlation, then data identification becomes simpler, but network traffic increases and computing resources are consumed
Solution Approach 1:
The patent segments the data correlation function by distributing data storage across multiple locations while using cross-channel identifiers to link them. Instead of centralizing all data in one location, the system maintains distributed storage for efficiency and uses the identifier system to enable correlation across segments. This resolves the contradiction by allowing data to remain distributed (reducing network traffic) while still enabling easy identification through the identifier linkage.
Data Source
AI summary
Systems, computer program products, and methods are described herein for automatically and dynamically generating a cross-channel identifier for disparate data in an electronic network. The present invention is configured to identify a first data point generated at a first instance and from a first data source; identify a second data point generated at a second instance and from a second data source; correlate, by a large language model, the first data point with the second data point; generate, based on the correlation, a shared identifier for the first data point and the second data point; identify a current data point at a current instance; verify, by the large language model, the current data point is consistent with the first data point and the second data point; and apply, based on the verification of the current data point, the shared identifier to the current data point.