18298478. Real-Time, Context-Aware Resource Delivery for Enterprise Applications simplified abstract (Microsoft Technology Licensing, LLC)

Real-Time, Context-Aware Resource Delivery for Enterprise Applications

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Choo Yei Chong of Redmond WA (US)

Matthew Ontell of Glen Allen VA (US)

Sakshi Guraba of San Jose CA (US)

Real-Time, Context-Aware Resource Delivery for Enterprise Applications - A simplified explanation of the abstract

This abstract first appeared for US patent application 18298478 titled 'Real-Time, Context-Aware Resource Delivery for Enterprise Applications

The abstract describes a method for delivering relevant resources during the execution of an enterprise application. This method involves executing the enterprise application on a remote computing system, determining enterprise user attributes based on enterprise-level data, and automatically detecting productive state attributes corresponding to the user's current productive state with respect to the application.

• The method automatically detects when the user's current productive state falls below a threshold value.
• It then determines resources to increase the productive value above the threshold by applying a propensity model to user attributes and productive state attributes.
• The resources are provided to the user via the user interface.

Potential Applications: - This technology can be applied in various enterprise settings to enhance user productivity and efficiency. - It can be used in project management software to provide resources to users based on their current productive state.

Problems Solved: - Addresses the challenge of maintaining user productivity within enterprise applications. - Helps users stay focused and efficient while using enterprise software.

Benefits: - Increases user productivity by providing relevant resources. - Enhances user experience within enterprise applications. - Improves overall efficiency and effectiveness of enterprise software usage.

Commercial Applications: - "Enhanced Productivity Resource Delivery System for Enterprise Applications" can be marketed to companies looking to optimize their employees' productivity within enterprise software. - This technology has the potential to revolutionize the way users interact with enterprise applications, leading to increased efficiency and effectiveness in the workplace.

Questions about the technology: 1. How does the propensity model work to determine resources for increasing user productivity? 2. What are the key factors considered when detecting the user's current productive state?

Original Abstract Submitted

A method for delivering relevant resources during the execution of an enterprise application is implemented via a computing system and includes executing the enterprise application on a remote computing system operated by an enterprise user, causing the surfacing of a user interface (UI) on the remote computing system's display, determining enterprise user attributes based on enterprise-level data, and responsive to user input including an interaction with the enterprise application, automatically detecting productive state attributes corresponding to a current productive state of the enterprise user with respect to the enterprise application. The method also includes automatically detecting when the current productive state includes a productive value that is below a threshold productive value, automatically determining resource(s) to increase the productive value to above the threshold productive value by applying a propensity model to the enterprise user attributes and the productive state attributes, and providing the resource(s) via the UI.