Abstract: A system receives a speech of a user that indicates a request. The system extracts a plurality of voice features from the speech. The system converts the speech into a plurality of binary digits. The system determines a first voice feature constant value associated with a first voice feature, where the first voice feature constant value is an average of the first voice feature. The system determines a second voice feature constant value associated with the second voice feature, where the second voice feature constant value is an average of the second voice feature. The system encrypts the plurality of binary digits using the first and second voice feature constant values, where the encrypted plurality of binary digits corresponds to a voice-based hash value. The system generates a new block in a blockchain network using the voice-based hash value.

Abstract: A system for resolving exceptions in requests determines that a request comprises an exception. The exception impeded processing the request to be granted or denied. The system determines a type of exception that indicates whether the exception is incomplete information, incorrect information, or previously-unknown information. The system generates a block in a blockchain network. Based on the stored details in the block, the type of exception is identified. Accordingly, the block is segregated for exception processing based on its exception type. The system stores the exception in the block. The system compares the request with user information previously provided by the user. The system determines a similarity score between the request and the user information. The system compares the similarity score with a threshold percentage. In response to determining that the similarity score exceeds the threshold percentage, the system determines that the exception can be resolved and resolves the exception.

Abstract: Aspects of the disclosure relate to cognitive identification of credit reporting disputes and dispute resolution using quantum computing. A computing platform may retrieve historical data and current credit report data and identify, using a DNA computing engine, potential reporting inaccuracies. The computing platform may send a recommendation to a computing device of a user to initiate a dispute. Based on receiving input from the user accepting the recommendation, the computing platform may initiate the dispute as a block in a distributed ledger. The computing platform may determine a probability that actual reporting inaccuracies exist. The computing platform may identify parameters for adjustment. In addition, each parameter may indicate a type of change to be made. The computing platform may update an account of the user based on the determined probability and the identified parameters. The computing platform may send a notification to the user indicating a resolution of the dispute.

Abstract: Aspects of the disclosure relate to cognitive identification of credit reporting disputes and dispute resolution using quantum computing. A computing platform may retrieve, using a quantum computing device, dispute data from a block chain of dispute requests. The computing platform may convert the dispute data into quantum bits. The computing platform may perform quantum searching of the retrieved dispute data over a plurality of different databases and identify potential dispute transactions. The computing platform may determine probability scores for the potential dispute transactions, each probability score being based on a likelihood that a change associated with the potential dispute transactions is to be made. The computing platform may determine respective parameters associated with the potential dispute transactions, wherein each parameter indicates a type of change to be made.