Bank of America Corporation

Sunilkumar Sriperambudur

Durga Prasad Kutthumolu

Saurabh Arora

Suryanarayana Adivi

Aspects of the disclosure relate to using machine learning models to performing real-time cache updates. A computing system may receive a request to update an unreferenced object of a user interface of an application. A block may be generated in a blockchain stored in a second cache tier. The block may comprise a non-fungible token (NFT) based on the unreferenced object and may indicate that the unreferenced object is not authorized to indicate a system of record update. Based on the request to update the unreferenced object meeting one or more criteria, a block comprising an NFT that is referenced by the unreferenced object may be generated in a first cache tier. A block indicating that the NFT is referenced by the unreferenced object may be generated in a first cache tier and the unreferenced object may be updated in the user interface of the application.

Intelligent method for real time cache updates leveraging distributed ledger technology with non-fungible token (NFT) tied system of record (SOR) update indicators

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Telangana, India

Sunilkumar Sriperambudur