Data Processing System for Application Routing
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Solution Overview
Problem
The complexity of managing and processing data from various sources, including external and internal data sources, is increasing due to the variety of data formats and sources, making it challenging to select the appropriate software applications for processing this data effectively.
Innovation Solution
An apparatus comprising memory and processors that receive digital data, determine its categories, and initiate the corresponding applications for processing, using image, text, and semantic-based methods to associate the data with appropriate applications based on characteristics and confidence levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is received from multiple diverse sources in various formats, then data coverage and versatility are improved, but the complexity of selecting appropriate processing applications increases
Solution Approach 1:
The patent introduces a processing/categorization processor as an intermediary component between diverse data sources and multiple specialized applications. This mediator receives data in various formats, categorizes it using multiple methods (image-based, text-based, semantic-based), and automatically determines which applications should process the data, thereby resolving the complexity of application selection while maintaining broad data coverage
Solution Approach 2:
The processing/categorization processor is designed as a universal system that can handle multiple types of data formats and sources simultaneously. It performs multiple functions including receiving data, categorizing it through different methods, and routing to appropriate applications, thereby managing diverse data inputs without increasing overall system complexity
2Device complexity
If manual docketing and processing methods are used, then system simplicity is maintained, but processing efficiency and productivity decrease
Solution Approach 1:
The system implements self-service automation where the processing/categorization processor automatically receives data, determines its category, selects appropriate applications, and initiates processing without manual intervention. This automated self-service approach significantly improves processing efficiency while maintaining relative system simplicity through a centralized processing logic
3Productivity
If automated data processing is implemented, then processing efficiency is improved, but the complexity of managing diverse data formats and sources increases
Solution Approach 1:
The processing/categorization processor serves as an intermediary that manages the complexity of diverse data formats and sources. It automatically categorizes incoming data using multiple methods and determines appropriate processing applications, thereby enabling efficient automated processing without requiring complex manual data management procedures
4Measurement precision
If multiple specialized applications are used to process different data types, then processing accuracy is improved, but the difficulty of detecting and measuring the correct application increases
Solution Approach 1:
The system employs feedback mechanisms where the processing/categorization processor continuously monitors incoming data characteristics, compares them against known categories, and adjusts its categorization and application selection based on match confidence levels. This feedback-driven approach ensures high processing accuracy while automatically detecting the correct application without increasing detection difficulty
Data Source
AI summary
Techniques are provided for processing and categorizing data received from data sources. The processing and categorizing of the received data comprises: determining whether the digital data can be associated with one or more categories by determining whether a first match between one or more image characteristics of the one or more categories and one or more image characteristics of the digital data is found; in response to determining that the first match is found: associating the one or more categories with the digital data; determining, based at least in part on the one or more categories, one or more applications that are to be used to process the digital data; in response to determining the one or more applications that are to be used to process the digital data, initiating the one or more applications to process the digital data.