Capital One Services, LLC

Amit Ramesh Deshpande

Satish Chikkaveerappa

Liju Mathews

Mithra Kosur Venuraju

Vipin Dwivedi

Anil Konduru

Renjith Pascas

Jameskutty Mony

Anvitha Banakal Sadananda

Dillon Forsberg

Ponnazhakan Subramanian

Dirgh Rabadia

A device may determine that a user has a threshold level of interest in a type of product. The device may receive an image of a face of the user, may perform a facial recognition analysis of the image, and may determine identification information of the user based on the facial recognition analysis. The device may identify account information associated with the user based on the identification information and may identify a product in an inventory that is associated with the type of product. The device may perform a preauthorization process associated with a transaction involving the product and the user based on the account information, and may perform an action associated with the transaction based on the preauthorization process.

Product analysis platform to perform a facial recognition analysis to provide information associated with a product to a user

A method, apparatus, and computer-readable medium are described that enable agent instances to be instantiated in secure, containerized environments. When a new container is detected, a list of agent instances expected to be running in a compute instance or in a container may be obtained and compared with status information regarding which agent instances are active. For a non-active agent instance, an agent object and configuration information for the agent instance may be obtained from a storage. Based on the available name, the agent object, and the configuration information, the agent instance may be instantiated and connected to an agent status server. An application related to the new agent instance may be deployed in the secure containerized environment.

Securely rehydrating containerized agents

A method, apparatus, and computer-readable medium are described that provide integrated testing and validation of multi-phase instructions before deployment. Aspects of the disclosure relate to testing ETL instructions using an efficient process that individually and/or holistically validates the ETL instructions and, using a random number generator, varies various aspects of the source datasets. A benefit of running the combination of instructions includes finding errors that are not apparent during testing of each instruction phase separately. Instructions may be separately provided that identify the framework of an in-memory source dataset (e.g., a quantity of rows, a quantity of columns, types of the various columns, data for each record, and the like). The instructions for the framework may also identify a variability of one or more of the items of the framework.

In-memory databases for integration testing of extraction, transformation, and/or loading jobs

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 computer system for analyzing page tags of a website. The system may include a processor in communication with a database; and a storage medium. The storage medium may store instructions that, when executed, configure the processor to: access the website, the website comprising plurality of page tags; generate a collected tag record by aggregating the page tags, the collected tag record comprising collected elements; request, from the database, a benchmark tag record, the benchmark record comprising benchmark elements, the benchmark tag record being based on historic page tags stored in the database; generate a result tag record, the result tag record indicating at least one of matches or mismatches between the benchmark tag record and the collected tag record; and display at least one of the result tag record or an analysis result, the analysis result representing an aggregation of the result.

Growing community of inventors

McKinney, TX, United States of America

Amit Ramesh Deshpande