DNA Computing Platform for Consolidating Third-Party Data Requests
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Solution Overview
Problem
Enterprises face inefficiencies in accessing and managing third-party data due to redundant data extraction and varying usage patterns, leading to increased costs and processing delays.
Innovation Solution
A DNA-based computing platform that uses non-fungible tokens (NFTs) to tag and link data requests, synthesizes DNA strands for each request, clusters them for consolidation, and employs machine learning for optimized data extraction scheduling, ensuring unique identifiers and synchronized data access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple users directly access third-party data sources independently, then each user can access data according to their own needs, but redundant data extraction occurs leading to increased enterprise costs
Solution Approach 1:
The patent implements a centralized subscription access platform that consolidates multiple users' data requests into a single unified access point. The platform receives requests from multiple applications, clusters them based on encoded attributes, and generates integrated request structures that eliminate redundant extractions. This merging approach maintains individual user access flexibility while reducing overall enterprise costs by accessing third-party data sources through a single coordinated interface.
2Productivity
If data requests are processed individually without consolidation, then each request can be handled independently, but processing speed and efficiency are reduced due to redundant operations
Solution Approach 1:
The patent applies preliminary action by synthesizing DNA strands that encode request attributes before the actual data extraction occurs. The DNA strands are clustered based on encoded attributes, and integrated request structures are generated in advance, identifying commonalities among multiple requests. This preliminary consolidation allows the system to process groups of requests simultaneously rather than sequentially, significantly improving processing efficiency while reducing overall processing time.
3Productivity
If DNA strands are synthesized and clustered for each request, then duplicate requests can be eliminated and data extraction optimized, but the system complexity increases
Solution Approach 1:
The patent introduces DNA strands as an intermediary layer between the request management system and the data extraction process. DNA strands encode request attributes and serve as mediators that enable automated clustering and identification of duplicate requests. The system includes DNA synthesis modules, clustering modules, and integrated request structure generation modules that work together to translate biological computing concepts into practical request optimization, managing complexity through modular design.
Data Source
AI summary
Systems, methods, and apparatus are provided for integrating access to third-party data using DNA computing. Requests for third-party data may be received from a plurality of applications. The request structure may be tagged with an NFT, linking the request to the originating application. DNA strands may be synthesized from the request structures and clustered based on the encoded attributes. A DNA cluster may be converted to digital data to generate an integrated request structure. Machine learning models may generate an extraction schedule using update information for each third-party vendor. A bot array may apply license credentials to access the vendors and execute an integrated request. An integrated response structure generated from extracted subscription data may be mapped back to the DNA strands. The DNA strands may be decoded to identify the original requests and responses may be transmitted to the originating applications using the NFT linkage associated with the requests.