Three-Tier AI Architecture for Synchronized Processing Statements
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Solution Overview
Problem
Existing artificial intelligence systems face challenges in deploying processing statements across diverse computer networks due to the lack of labeled data and consensus on appropriate labels, particularly in environments where standardization and synchronization are needed for Activity, Risk, Control, and Monitoring (ARCM) tools.
Innovation Solution
A three-tiered artificial intelligence architecture is employed, comprising a first model for generating standardized processing statements, a second model for determining processing characteristic values, and a third model for synchronizing functions, allowing for modular and scalable deployment across networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single AI model is used for processing statement standardization, then the system is simpler to implement, but it cannot provide granular accuracy and precision for different processing functions
Solution Approach 1:
The patent divides the AI system into three separate models (first model for generating processing statements, second model for determining characteristics, third model for synchronizing functions) to provide specialized granular accuracy for different processing tasks while maintaining manageable complexity through modular architecture
2Manufacturing precision
If processing statements are customized for each specific function, then functional precision is improved, but standardization and synchronization across networks deteriorate
Solution Approach 1:
The patent creates processing statements that are universally applicable across multiple functions and networks through the third model's synchronization capability, while the first two models ensure each statement maintains functional precision for its specific application context
3Measurement precision
If manual evaluation of processing descriptions is performed, then label accuracy is improved, but time consumption and labor requirements worsen
Solution Approach 1:
The patent implements self-service through automated AI models that generate, determine, and synchronize processing statements without manual intervention, achieving both high accuracy through intelligent algorithms and efficiency by eliminating manual evaluation time
4Adaptability or versatility
If updates are made to processing statements across all networks, then standardization is improved, but existing determinations and system stability worsen
Solution Approach 1:
The patent applies local quality by allowing updates to be propagated selectively across networks based on the third model's synchronization logic, ensuring standardization is improved in areas where it benefits system consistency while maintaining stability in existing determinations that are already optimized
Data Source
AI summary
Systems and methods are described for a three-tiered artificial intelligence architecture that synchronizes processing statement deployment across diverse computer networks. The system may receive, at a user interface, a first request for a first recommendation. The first recommendation includes a set of standardized processing statements for implementing on a function. The system may input the first request into a first network component. The first network component includes first, second, and third models. The first model is trained to generate a library of standardized processing statements. The second model is trained to generate a plurality of standardized processing characteristic values for each standardized processing statement in the library. The third model is trained to generate recommendations of sets of standardized processing statements to functions. The system receives an output from the first network component and generates for display the first recommendation based on the output.