Bank of America Corporation

Rama Venkata Kavali

Venugopala Rao Randhi

Jyothi Gaddam

Pitti Venkateswarlu

Praveen Kumar Trivedi

Anshuman Mohanty

A quantum computing platform may train, using historical workload information, a container configuration generation model. The computing platform may receive, from a workload processing system, a data feed indicating current workload information. The computing platform may input, into the container configuration generation model, the current workload information, which may cause the container configuration generation model to produce a container configuration output, where the container configuration output may be an optimal batch configuration for processing the data feed, and where the optimal batch configuration may be a configuration that optimizes between computing resources and processing speed. The computing platform may send, to the workload processing system, the container configuration output and one or more commands directing the workload processing system to process the data feed using the optimal batch configuration, which may cause the workload processing system to process the data feed using the optimal batch configuration.

Real time optimization apparatus for dynamic code evolution using quantum machine learning with non-fungible tokens

Methods and systems are provided for restoring a source database to a target environment. The methods and systems may include calculating an amount of data on each drive of the source database. The methods and systems may include calculating free space of each drive of the target environment. The methods and systems may include shrinking filegroups in the drives of the source database. The methods and systems may include fetching historical transactional queries run on tables in the filegroups. The methods and systems may include identifying interdependencies between tables using the queries. The methods and systems may include ingesting, by an AI engine, the calculations, the queries, the identified interdependent tables, historical information of table movement and a business use case. The methods and systems may include the AI engine determining how to restore the source database using the ingested information.

Intelligent file and filegroup reorganizer for backup and restore in multi environments

A quantum computing platform may establish a smart contract approval and management model, including: rules for automated validation, and rules for smart contract approver validation. The computing platform may receive, from a workload processing system, a data feed indicating current workload information. The computing platform may generate, based on the data feed, a first container configuration output, defining a batch configuration for use in processing the data feed. The computing platform may validate, using the one or more rules for automated validation, the first container configuration output. The computing platform may send, to the workload processing system, the first container configuration output and one or more commands directing the workload processing system to process the data feed using the batch configuration defined by the first container configuration output, which may cause the workload processing system to process the data feed using the batch configuration.

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Charlotte, NC, United States of America

Rama Venkata Kavali