Intelligent Processing Engine for Usage-Based Data Refresh
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Solution Overview
Problem
Conventional data acquisition and storage systems fail to monitor data usage after initial acquisition, leading to inefficient use of computing resources as data is refreshed and maintained without consideration for actual user needs.
Innovation Solution
An intelligent processing system utilizing an artificial intelligence engine to monitor data usage, convert datasets to standardized formats, store data based on characteristics, and dynamically adjust refresh frequencies based on usage scores to optimize resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is continuously refreshed and maintained in conventional systems, then data availability is ensured, but computing resources are wasted when data is not actually needed
Solution Approach 1:
The system implements feedback mechanisms by monitoring data usage patterns and automatically adjusting refresh frequencies. The AI engine continuously analyzes usage data and modifies data acquisition strategies accordingly, ensuring data is refreshed based on actual demand rather than fixed schedules, thus eliminating resource waste while maintaining availability.
Solution Approach 2:
The patent applies dynamics by making the data refresh frequency adaptive rather than static. The system dynamically adjusts refresh intervals based on real-time usage analysis, allowing high-priority data to be updated frequently while low-priority data receives minimal updates, optimizing resource allocation across the distributed network.
2Measurement precision
If computing resources are dedicated to refreshing all data uniformly, then data freshness is maintained, but system efficiency decreases due to unnecessary processing
Solution Approach 1:
The system applies local quality by differentiating data refresh strategies based on individual data characteristics and usage patterns. Instead of uniform refreshing, each data element receives customized attention - frequently accessed data is updated regularly while rarely accessed data is updated minimally, optimizing both freshness and efficiency at the local data level.
Solution Approach 2:
The patent utilizes parameter changes by modifying refresh frequency parameters dynamically based on usage analysis. The AI engine adjusts temporal parameters (refresh intervals) and resource allocation parameters (processing priority) according to actual data demand, transforming the system from static uniform processing to dynamic adaptive processing.
3Ease of operation
If data is stored in multiple distributed locations, then accessibility is improved, but monitoring and managing data usage becomes more complex
Solution Approach 1:
The patent implements universality through a standardized AI engine that operates across all distributed storage locations with consistent functionality. This universal monitoring system collects, analyzes, and acts on usage data from multiple locations using the same algorithms and protocols, simplifying management despite the distributed architecture's inherent complexity.
Data Source
AI summary
Systems, computer program products, and methods are described herein for an intelligent processing engine for acquisition, storage, and subsequent refresh of data from a distributed network. The present invention is configured to receive, from one or more distributed computing systems, an enterprise dataset; convert the enterprise dataset to a standardized format; store the enterprise dataset in one or more storage locations based on a characteristic of the enterprise dataset; provide the one or more distributed computing systems with remote access to the one or more storage locations; monitor, via an artificial intelligence engine, usage data from the one or more distributed computing systems, wherein the usage data is associated with remote access of the one or more storage locations; generate, via the artificial intelligence engine, a use score associated with the one or more storage locations; and automatically refresh the one or more storage locations based on the use score.