Patent ID: 11874823
Assignee: BANK OF AMERICA CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 1:
2. A method for extending a usable lifetime of a legacy database of an organization by converting documents stored on the legacy database from a format that is incompatible with a computer hardware processor in electronic communication with the legacy database into a format compatible with the computer hardware processor and using the converted documents to train a machine learning artificial intelligence (AI) system to detect errors in an incoming document, the method comprising:
digitizing, using optical character recognition (OCR) run on the computer hardware processor, documents in a first format into a digital format;
wherein:
the first format is incompatible with the computer hardware processor; and
the documents are stored on the legacy database;

converting, using the computer hardware processor, the documents in the digital format into a second format;
wherein the second format is compatible with the computer hardware processor;

storing, using the computer hardware processor, the documents in the second format on the legacy database;
training, using a graphics processing unit (GPU) in electronic communication with the computer hardware processor, a machine learning AI system, using the documents stored in the second format in the legacy database;
wherein the machine learning AI system detects errors in incoming populated documents in the second format;

receiving a populated first document, at the computer hardware processor, from an entity in a format which is incompatible with the computer hardware processor;
digitizing, using OCR run on the computer hardware processor, the populated first document into a digital format;
converting, using the computer hardware processor, the populated first document in the digital format into the second format;
determining a confidence level, using the GPU, for the machine learning AI system to evaluate populated entries in the populated first document for errors;
when the confidence level is above a pre-determined threshold, using the GPU to run the machine learning AI system to detect an error in the populated first document;
providing, using the computer hardware processor, a detected error in the populated first document to the entity for feedback;
receiving from the entity, at the computer hardware processor, feedback that the error detected by the machine learning AI system is a mistake;
storing, using the computer hardware processor, the populated first document without changing the error on the legacy database;
when the confidence level falls below the pre-determined threshold due to the mistake in the error detection for the populated first document, updating the training of the machine learning AI system, using the GPU, to learn from the mistake;
receiving a populated second document, at the computer hardware processor, from an entity in a format which is incompatible with the computer hardware processor;
digitizing, using OCR run on the computer hardware processor, the populated second document into a digital format;
converting, using the computer hardware processor, the populated second document in the digital format into the second format;
determining a confidence level, using the GPU, for the machine learning AI system to evaluate populated entries in the populated second document for errors;
when the confidence level for identifying an error in the populated second document is above the pre-determined threshold, using the GPU to run the machine learning AI system to detect an error in the populated second document;
providing, using the computer hardware processor, a detected error in the populated second document to the entity for feedback;
receiving from the entity, at the computer hardware processor, that the populated second document should be changed reflecting the detected error;
storing, using the computer hardware processor, the populated second document with the error changed on the legacy database; and
updating, using the GPU, the machine learning AI system.