American Express Travel Related Services Company, Inc.

Mckinsey & Company, Inc.

Sastry V S M Durvasula

Sathish B Muthukrishnan

Priyadarshini Koul

Deep Thomas

Sripriya V Tiku

Premkumar Manivannan

Ashish Kumar

Sandeep Sacheti

Stephanie Schultz

Lucas Saunders Gebb

Narasimha Murthy

Nageshwara R Chirravuri

Sibish Basheer

Sanjay S Agrawal

Karl Von Wolff

Rachna R Govani

Sarah Claire Peltier

Ravi Govindasamy

Varun Sood

Sohail Zafar

Harish R Naik

Rares Ioan Almasan

David Wolf

Sriram Venkatesan

Balaji Balaraman

Sibish Neelikattil Basheerahammed

Sonam Jha

Neema Uthappa

Diane Derocher

Philip Norman

Eddie J Alvarez

Jaspreet Singh

Stephen K Dantu

Marat S Khalfin

Robert Wilmes

Manjushri H Puranik

Sherree Newhouse

Neha Singh

Miles Baker

Anuj K Mathur

A method includes collecting current data and architecture state, collecting future data and architecture state; analyzing the current and/or future data and architecture state to generate deployment options; and causing the summary of options to be displayed. A computing system includes a processor and a memory comprising instructions, that when executed, cause the system to collect current data and architecture state, collect future data and architecture state; analyze the current and/or future data and architecture state to generate deployment options; and cause the summary of options to be displayed. A non-transitory computer-readable storage medium includes executable instructions that, when executed by a processor, cause a computer to collect current data and architecture state, collect future data and architecture state; analyze the current and/or future data and architecture state to generate deployment options; and cause the summary of options to be displayed.

Machine learning techniques for environmental discovery, environmental validation, and automated knowledge repository generation

A system may deliver personalized content to a user. The system may create a user persona based on demographic information and stored clickstream data of the user. The system may learn which functionalities the user typically uses on a webpage, and the system may create a personalized version of the webpage for the user.

Personalization using clickstream data

A method comprises receiving, by a computer-based system for processing a transaction, a notification that a transaction account holder has taken an action, taking, in near real time, an action in response to the action taken by the transaction account holder, and/or communicating with a web-client associated with the transaction account holder in response to the action taken by the transaction account holder. The communicating with the web-client may occur in near real time.

Transactions with reward points

A method comprises transmitting, by a merchant web-client, a signal using a low energy consuming device, wherein the signal may be received by a transaction account holder web-client, wherein the signal may carry content associated with a merchant, and wherein the merchant is associated with the merchant web-client, and/or receiving, by the merchant web-client, a response from the transaction account holder web-client, wherein the response may be transmitted by the transaction account holder web-client to the merchant web-client using the low energy consuming device. The content may comprise an advertisement associated with an item offered for sale by the merchant.

Systems and methods for dynamic proximity based E-commerce transactions

Systems and methods for processing transactions

The present disclosure includes a system, method, and article of manufacture for targeting ad impressions. A list of customer records may be transmitted to a service provider system that identifies a matched customer and installs a cookie on a web client associated with the matched customer. The system may further receive a campaign request from a merchant and transmit the campaign request to the service provider system which may add a flag to the cookie based on the campaign request as well as instruct a media buyer system to bid on an ad impression for the matched customer based on the flag. The system may further receive an expenditure associated with the matched customer who received the ad impression and compare the expenditure to an expenditure associated with a customer who did not receive targeted ad impression but fits parameters associated with the campaign request.

Systems and methods for targeting ad impressions

The system provides location based coupon-less offers based upon a location of a card member (CM). A location of a CM may be determined based upon one or more of a travel itinerary, a GPS signal, a proximity of a mobile communication device to a cellular base station, and/or a zip code. An offer from a merchant registered to provide coupon-less offers may be transmitted to a mobile communication device based upon the location. An offer, once accepted by a CM, may be matched to a record of charge associated with a transaction account held by the CM. A credit may be applied to the CM's transaction account and a debit may be applied to a transaction account of the registered merchant. One or more offer categories and/or one or more offer category classes may be transmitted to the mobile communication device based upon the CM's location.

Systems and methods for providing location based coupon-less offers to registered card members

A system that enables development and execution of predictive models comprises a centralized data management system, a data extraction tool a model validation tool and a model execution tool. In embodiments, a data management system includes a data management server that can be accessed via a web browser that stores data. An extraction tool includes a data filter adapted to filter data based on, for example, a population criteria, a sample size, and a date range criteria. A model validation tool validates the model. A model execution tool allows a user to score the model.

Infrastructure and architecture for development and execution of predictive models

The initial systems analysis of a new data source fully defines each data element and also designs, tests and encodes complete data integration instructions for each data element. A metadata cache stores the data element definition and data element integration instructions. The metadata cache enables a comprehensive view of data elements in an enterprise data architecture. When data is requested that includes data elements defined in a metadata cache, the metadata cache and associated software modules automatically generate database elements to fully integrate the requested data elements into existing databases.

Rapid caching and data delivery system and method

Growing community of inventors

Phoenix, AZ, United States of America

Sastry V S M Durvasula