Capital One Services, LLC

Renjith Pascas

Vipin Dwivedi

Satish Chikkaveerappa

Ponnazhakan Subramanian

Lokesh Vijay Kumar

Liju Mathews

Amit Ramesh Deshpande

Sasi Kumar Unnikrishnan

Venkata Satya Parcha

Shilpa Mittal

A device receives vehicle data associated with vehicles located at a vehicle dealership lot, and receives, from a user device, profile data identifying a user of the user device and data identifying a particular vehicle of the vehicles. The device compares the data identifying the particular vehicle and the vehicle data to determine particular vehicle data associated with the particular vehicle, and processes the particular vehicle data and the profile data of the user, with a first model, to determine purchase options for the particular vehicle and the user. The device provides, to the user device, the particular vehicle data and the purchase options for the particular vehicle to cause the user device to display the particular vehicle data and the purchase options for the particular vehicle.

Utilizing machine learning to generate vehicle information for a vehicle captured by a user device in a vehicle lot

Embodiments of the present disclosure relate to systems and methods for preparing a data set for searching. In addition, embodiments of the present disclosure relate to solutions for configuring a storage infrastructure and indexing process for a data set.

System and method for preparing a data set for searching

A system and method in accordance with examples may include systems and methods for detecting failure of microservice applications in communication with an orchestration layer of a microservice-architecture. The system may include memory and an orchestration layer including one or more processors coupled to the memory. The one or more processors may be configured to connect the orchestration layer to a plurality of microservice applications that are each associated with a respective dataset. The one or more processors may be configured to validate, responsive to the connection of each of the microservice applications, the microservice applications by performing a first test and a second test. The one or more processors may be configured to deploy, responsive to the validation of the microservice applications, the microservice applications to execute a plurality of workflow actions.

Systems and methods for failure detection with orchestration layer

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Allen, TX, United States of America

Renjith Pascas