Bank of America Corporation

Sreenivas Chintada

Suki Ramasamy

Mahesh Ganesan

Rajalakshmi Arumugam

Ravikanth Tadepally

Mohan Sundaresan

A system is provided for detecting multi-dimensional linkage and layering of resource transfers using a distributed server network. In particular, the system may comprise a plurality of distributed server nodes that each host a copy of a distributed register, where each of the nodes may be operated by an entity. Each distributed server node may submit, to the distributed register, data records that may contain data regarding potential unauthorized users, accounts, and/or resource transfers. Based on the information within the distributed register, along with various other data inputs, the system may use a deep learning-based graph processing algorithm to identify a multi-dimensional linkage between the users, accounts, and/or resource transfers to extract hidden relationships and potentially unauthorized activity.

System for detecting multi-dimensional linkage and layering of resource transfers using a distributed server network

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.

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Chennai, India

Sreenivas Chintada