Bank of America Corporation

Ravikanth Tadepally

Suki Ramasamy

Sudhansu Mohanty

Utkarsh Singhal

Mohan Sundaresan

Durga Prasad Kutthumolu

Sreenivas Chintada

Susheel Chiluka

Yegappan Alagappan

Navin Singh

Aspects of the disclosure describe methods and systems involving separate, parent (e.g., public) and child (e.g., private) metaverses with varying confidentiality and access privileges for auditor users, financial analyst users, regulatory users, and other virtual reality/metaverse users to interact in a fully immersive, real-time manner (e.g., using an immersive query modulation engine) to fulfill audit and regulatory reporting requirements, including extracting information from heterogeneous data stores, recordkeeping of audit responses for regulatory purposes, and maintaining access privileges of varying user profiles.

Intelligent platform for audit response using a meta verse-driven approach for regulator reporting requirements

Systems, methods and apparatus are provided for AI-based generation of data warehouse quality protocols. An attribute classifier may quantify relationships between source data and target data from an enterprise data warehouse. A data quality engine may apply these relationships to identify specific data quality concerns and generate customized data quality metrics.

Smart data quality protocols

An apparatus includes a processor. The processor extracts a column from an external source for import into a database configured to store a set of columns including a first and second column. The processor splits the entries of the import column into a set of terms. The processor generates a first, second, and third vector based on the frequency of each term of the set of terms in the first, second, and import columns, respectively. The processor determines a first similarity measure between the first and third vectors and a second similarity measure between the second and third vectors. The first similarity measure is greater than the second. In response, the processor provides an indication to a user that the first column is a mapping candidate for the import column, such that entries of the import column may be stored in the database as additional entries in the first column.

Data mapper tool

Systems, methods and apparatus are provided for AI-based generation of data warehouse quality protocols. An attribute classifier may quantify relationships between source data and target data from an enterprise data warehouse. A data quality engine may apply these relationships to identify specific data quality concerns and generate customized data quality metrics. A user interface may enable a user to enter parameters for the classification protocols and corresponding rule-based generation of data quality metrics.

Growing community of inventors

Chennai, India

Ravikanth Tadepally