Bank of America Corporation

Vinay Jaisinghani

Samson Paulraj

Ravi Ranjan Shandilya

Venkata Durga Rao Medisetti

Kumaresan Karuppiah

Barnali Sanyal

Siju Abraham

Naresh Soni

Obi Reddy Yanamala

Aspects of this disclosure relate to a blockchain system for management of scripts associated with software applications. The blockchain system may be supplemented by an artificial intelligence (AI)-based system for generation of test scripts. The blockchain system may employ smart contracts for submission and validation of scripts by different nodes of a peer-to-peer (P2P) network.

Blockchain system for source code testing and script generation with artificial intelligence

A system is provided for secure verification of authentication data using quantum computing and a distributed server network. In particular, the system may store a reference set of authentication data associated with a user within a distributed server database in an encrypted form. Subsequently, when the system receives live set of authentication data associated with the user, the system may, using a quantum authenticator, compare the encrypted live set of authentication data with the encrypted reference set of authentication data for authorization purposes. The system may further comprise a quantum machine learning authorization engine which may track historical data and/or settings associated with the user to model and predict behavior patterns of the user. In this way, the system provides a secure and efficient way to perform authentication and/or authorization of the user.

System for secure verification of authentication data using quantum computing and a distributed server network

A system is provided for resolving data errors. The system is configured to receive a data element from a source application and process the data element using an Extract, Transform and Load (ETL) logic. Upon detecting that the processing of the data element has failed as a result of an error in the data element, the system generates a plurality of probable data values for the data element. For each probable data value of the plurality of probable data values, the system verifies whether the probable data value can be processed successfully by the ETL logic and by one or more target applications configured to process the data element. The system determines one of the probable data values as a suggested data value of the data element, based on the verification of the probable data values and processes the suggested data value using the ETL logic.

Recovering from data processing errors by data error detection and correction

A system is provided for resolving data errors. The system is configured to obtain an erroneous data element received from a source system and generate a plurality of probable data values for the data element. For each probable data value of the plurality of probable data values, the system verifies whether the probable data value can be processed successfully by an Extract, Transform and Load (ETL) logic and by one or more target applications configured to process the data element. The system determines one of the probable data values as a suggested data value of the data element, based on the verification of the probable data values. The system outputs the suggested data value for processing by the ETL logic.

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Mumbai, India

Vinay Jaisinghani