Bank of America Corporation

Durgadatta Belhekar

Rama Krishnam Raju Rudraraju

Johny Shaik

Daniel Darnadi Widjanarko

Om Purushotham Akarapu

Akheel Ap Khan Mohammed

Jitendra Upadhyay

Aspects of the disclosure relate to apparatuses, method steps, and systems for optimized Internet of Things (IoT) data processing for real-time decision support systems. The systems are used for real-time processing prioritization using a prioritization code and/or processing code. Edge devices may generate processing codes that are used in optimizing the data processing. For example, the system receives sensor data and preprocesses the sensor data with a simplified state estimation module to calculate a variance that is used to determine a processing code and/or a prioritization code.

Optimized IoT data processing for real-time decision support systems

A query generation system receives, from a first device, a first input and a first project identifier and receives, from a second device, a second input and a second project identifier. The first and second inputs are the same and are in a natural language format that is not compatible with a downstream database management system. The system generates, based on the first input, a first database query. The system generates, based on the second input, a second database query. The first and second database queries are compatible with the downstream database management system. The system receives a first response to the first database query and a second response to the second database query from the downstream database management system. The system transmits the first response to the first device and the second response to the second device.

Query generation from a natural language input

Embodiments disclosed herein relate to systems, methods, and computer program products for transforming an unstructured database into a structured database. In some embodiments, the system and method imports an unstructured database comprising entities and a hierarchy associated with the entities. The system and method analyze the unstructured database, flatten the database so that a recursive database is converted into a database that fully expands all entities into lower levels, and identifies instances of unbalanced or ragged hierarchies. The system populates the database according to predetermined rules to address the unbalanced or ragged hierarchies and outputs a structured database that can be used for accurate analysis of the hierarchy and entities stored therein, such as corporate structure hierarchies or stock inventory hierarchies.

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Hyderabad Telangana, India

Durgadatta Belhekar