Bank of America Corporation

Padmanabhan Iyer

Manu Jacob Kurian

Paul Roscoe

Mahesh Kumar Bhashetty

Arrangements for controlling data retrieval are provided. In some aspects, a data request may be received by a computing platform. A pre-fetch engine may be executed to analyze the data request and generate, using a machine learning model, a pre-fetch template identifying data sets responsive to the request. The pre-fetch template may be transmitted to one or more data repositories and response data sets including data use parameters may be received. The received plurality of data sets may be analyzed to determine whether a triggering action has occurred. If a triggering action has occurred, one or more data modification functions may be performed. For instance, data may be deleted, prevented from further processing, or the like, in response to detection of a triggering action.

Pre-fetch engine with data expiration functionality for mesh data network

Aspects of the disclosure relate to real-time management of data container generation, authorization, and throttling. In some embodiments, a computing platform may receive a first data container and retrieve a first data container management file associated with the first data container. The computing platform may then perform a first preliminary analysis of the first data container, including analyzing the first data container and the first data container management file to determine whether a first predetermined communication path requires additional throttling analysis. If additional throttling analysis is required, the computing platform may send analysis messages to a data container throttling module to extract a first communication entity listed in the first predetermined communication path. Thereafter, the computing platform may retrieve real-time operating conditions for the first communication entity to determine that the first data container requires additional throttling processing, and queue, by the data container throttling module, the first data container.

Dynamic computing platform for real-time data container generation, authorization, and throttling management

Arrangements for controlling data retrieval are provided. In some aspects, a data request may be received by a computing platform. A pre-fetch engine may be executed to analyze the data request and generate, using a machine learning model, a pre-fetch template identifying data sets responsive to the request. The pre-fetch template may be transmitted to one or more data repositories and at least one data repository may transmit response data sets to the computing platform. An issue in the mesh network through which the data sets are transmitted may be detected and the data sets may be stored at a data silo associated with a node of the mesh network. An alternate transmission path may be generated and the data may be transmitted from the data silo of the node to another node in the mesh network based on the alternate transmission path.

Pre-fetch engine for mesh data network having date micro silos

Arrangements for controlling data retrieval are provided. In some aspects, a data request may be received by a computing platform. A pre-fetch engine may be executed to analyze the data request and generate, using a machine learning model, a pre-fetch template identifying data sets responsive to the request. The pre-fetch template may be transmitted to one or more data repositories and response data sets may be received. The response data sets may be generated by a data controller associated with a respective data repository. The data controller may identify data sets and evaluate the date sets to determine whether they meet local requirements of the geographic location of the data repository. The received data sets may be analyzed to identify missing data sets. If missing data sets are identified, the data may be processed by ignoring the missing data sets or inserting a substitute value for the missing data sets.

Growing community of inventors

Cos Cob, CT, United States of America

Padmanabhan Iyer