Jpmorgan Chase Bank, N.a.

Peter G Costanzo

Howard Spector

Dave Carey

Timothy Lorenz

Sergei Z Maluszycki

Pierre Bouchard

In some aspects, the techniques described herein relate to a method including: providing a host application that provides a native service of a host organization to an end user of the application, and wherein the application integrates and provides an augmented reality service of a third party to the end user of the application; determining, by the data center of the host organization, a location-relevant incentive offer based on location telemetry data; sending the location-relevant incentive offer to a data center of the third party; monitoring, by the data center of the third party, the physical location of the end user; sending to the augmented reality service, the location-relevant incentive offer; and presenting, by the augmented reality service and to the end user via the application, the location-relevant incentive offer when the end user is within a predefined proximity to a vendor associated with the location-relevant incentive offer.

Systems and methods for third-party service integration in an application

A method for pre-positioning data based on a user attribute is disclosed. The method includes retrieving audit information that corresponds to a user, the audit information including the user attribute; determining, by using a model, a user characteristic for the user based on the audit information, the user characteristic including a probability value and a geographical location; comparing the user characteristic with a predetermined threshold; identifying raw data from a networked platform, the raw data corresponding to the user; generating a structured data set for the user based on the user characteristic; and persisting the structured data set in an edge computing repository based on a result of the comparing, the edge computing repository corresponding to the geographical location.

Method and system for pre-positioning data

Systems and methods for efficiency management are disclosed. In one embodiment, a method for efficiency management may include (1) receiving a complexity level for a project; (2) receiving, from a system of record, a plurality of data points for the project; (3) at least one computer processor calculating a plurality of metrics for the project from the plurality of data points; (4) the at least one computer processor normalizing the plurality of metrics based on the complexity level; and (5) the at least one computer processor displaying, using a plurality of widgets, the normalized metrics on a display.

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Dublin, OH, United States of America

Peter G Costanzo