Automated Document Importing and Tagging for Records Retention
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Solution Overview
Problem
Existing records storage systems are limited in their ability to centralize and manage records stored across multiple disparate locations, such as cloud databases and local networks, which complicates compliance and data management tasks.
Innovation Solution
A records retention cloud application service and automated document importing and tagging system that uses AI and machine learning to automatically discover, categorize, and tag files from various data sources, including cloud storage providers, local drives, and government databases, enabling efficient importation and management of records.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If records are stored across multiple disparate locations (cloud databases, local networks, government databases), then data accessibility and storage flexibility are improved, but record centralization and management efficiency deteriorate
Solution Approach 1:
The patent introduces a centralized records management system that acts as an intermediary between multiple disparate storage locations (cloud databases, local networks, government databases) and users. This intermediary system provides unified access, categorization, and management capabilities, allowing records to remain in their original distributed locations while enabling centralized control and improved management efficiency through a single interface.
2Measurement precision
If manual importing and tagging of records is performed, then data accuracy and categorization precision are improved, but time consumption and productivity deteriorate
Solution Approach 1:
The patent implements automated importing and tagging functionality that enables the system to perform record categorization and tagging operations autonomously without requiring manual intervention for each record. The system automatically imports records from multiple sources and applies appropriate tags and categorization based on predefined criteria and algorithms, significantly improving import speed while maintaining acceptable accuracy levels through automated decision-making processes.
3Productivity
If automated importing and tagging is implemented, then productivity and import speed are improved, but system complexity and automation extent deteriorate
Solution Approach 1:
The patent divides the automated records management system into distinct functional modules: an importing module that handles data ingestion from multiple sources, a tagging module that automatically assigns categories and tags, and a management module that provides user interface and control. This segmentation allows each component to perform its specific function with optimized complexity, making the overall system more manageable and maintainable while still achieving high automation levels and productivity.
Data Source
AI summary
A records retention cloud application service and automated document importing and tagging system and the automated document importing and tagging processes for records retention are disclosed. The automation of the file importing and tagging enables faster centralization and management of large numbers of records.