Capital One Services, LLC

Ana Cruz

Nahid Farhady Ghalaty

Lee Adcock

Christopher Camenares

Joseph Boayue

Vincent Pham

Geeta Shyamala

Patrick Sofo

Jason Trost

Jason Yl

Emmet Devlin

Embodiments discussed herein include systems, devices, methods, and techniques to process data, generate one or more graphs, and utilize the one or more graphs to detect anomalies.

Techniques to generate relationship graphs utilizing data in an enterprise system environment

Aspects described herein may provide determination of a pedestrian route for a user to reach a seating area inside of a venue. Financial transaction data of the user may be reviewed to determine the user purchased one or more tickets to an event at the venue. Information regarding the event or the venue may be determined including seating charts for the venue and whether the tickets are for assigned or unassigned seats. Crowd densities inside and outside of the venue may be determined. The pedestrian route may be determined based on the crowd densities, number of tickets, and type of seating. The route may be updated as conditions change including any change to the crowd densities or change to seating availability. The route may increase a likelihood that the user reaches the seating area prior to a start of the event, and in a less stressful manner.

System for advising consumers on optimal pedestrian routes based on transaction history

To facilitate improved email and device security, embodiments of systems and methods include intercepting, by a processor associated with an entity, an internet request, where the internet request is produced by a link received in an email at a first computing device. The processor determines that the link is externally bound relative to an entity network. The processor determines an existence of a sandbox environment instance in a set of existing sandbox environment instances. The processor routes the link through the sandbox environment instance. The processor updates the sandbox log in the database based on the sandbox environment instance and the link. The processor causes to display on a screen of the first computing device a user interface for interacting with the link in the sandbox environment instance, and the processor logs activities associated with interacting with the link in a security log.

Computer-based systems configured for detecting and sandboxing external resources and methods of use thereof

Systems, methods, and computer-readable storage media for providing communication recommendations to users. The system receives electronic transcripts associated with a first user and generates, based on the transcripts, a communication profile of the user. The system also receives additional user transcripts associated with a plurality of additional users and generates additional communication profiles for those additional users based on the additional transcripts. The system receives a request to communicate with at least one user within the plurality of additional users regarding a specified topic, identifies a second user from within the plurality of additional users, and generates a communication initiation recommendation for the first user to communicate with the second user. The system then transmits the communication initiation recommendation to a first user computing device associated with the first user.

System and method for electronic communication

Analyzing communications to determine appropriateness and provide recommendations based on prior communications. Prior communications may create a baseline tone based on the sentiment, words, or phrases used in previous communications between the user and the intended recipient and/or other user recipient pairs. Machine learning techniques may be used to continuously update a baseline tone.

System and method for electronic text analysis and contextual feedback

A configured application for authorizing a credit card by a user and a method that may include receiving an electronic request to pair a mobile device associated with a user with a credit card of the user. The credit card may include a location tracking circuitry to remotely communicate a location of the credit card to a remote electronic recipient. The location of the credit card may be received by a processor from the remote electronic recipient. A proximity multi-factor authentication may verify that the user is an authorized user of the credit card. The mobile device associated with the user may be paired with the credit card of the user after verifying that the user is the authorized user. The processor may receive the location of the credit card paired with the mobile device from the remote electronic recipient. The location of the credit card may be displayed on a display of the mobile device associated with the user.

Computer-based systems and methods configured for one or more technological applications for authorizing a credit card for use by a user

Systems, methods, and computer-readable storage media for quantifying meeting effectiveness for an individual. A system configured as disclosed herein uses data from multiple meetings in which a user participated to create a user profile for the user. The system then receives data related to a new meeting in which the user participated, processes the new meeting data into segments using natural language processing, tags the resulting segments based on contexts, and compares the tagged segments to the user profile to generate a meeting effectiveness score for the new meeting which is specific to the user. The system can use machine learning to iteratively improve an ability of the system to generate the tagged segments using historical meeting data and updating that historical meeting data with each iteration of scoring a meeting's effectiveness.

System and method for quantifying meeting effectiveness using natural language processing

Systems, methods, and computer-readable storage media for generating a quantifiable communication profile of a participant, then using that communication profile to identify fake media and/or verify media as authentic. An exemplary system can receive communications in which a participant was one of the parties communicating, perform natural language processing and statistical analyses on the received communications, and generate a participant communication profile which details how the participant communicates and prefers to be communicated with. The system can also receive media purported to be from the participant, perform natural language processing on the purported media, compare the syntax of the purported media to the participant's communication profile, and identify, based on word usage, the media as a fake.

Natural language based electronic communication profile system

A server can include a detection module for monitoring an electronic account and detecting irregular or fraudulent activities. The detection module can be a machine learning model configured to detect activities or patterns indicative of an account being compromised, hacked or accessed by unauthorized users. Upon detection of the irregular activities or patterns, the detection module can transmit a notification or signal to a trigger module which can implement remedial actions. The trigger module can receive the signal from the detection module and execute an action in accordance with a trigger plan. The trigger plan can include various information and a range of actions, which can be selected and/or executed based on the information included in the signal.

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McLean, VA, United States of America

Ana Cruz