Microsoft Technology Licensing, LLC

Aaron James Harrison

Neha Parikh Shah

Amit Prem Manghani

Aleksey Ashikhmin

Brian Scott Ruble

Sanjay H Ramaswamy

Sreeram Nivarthi

Amol Dattatray Dhaygude

Vindana Madhuwantha

Tannaz Sattari Tabrizi

Jessalynn Uchacz

Sunil Kumar

Di Li

Umashree Narayanaswamy

Andrew C Owen

Christopher Michael Trevino

Jagadeesh Virupaksha Huliyar

Manjit Singh Gill

Carlos Andres Morales Torrado

Sida Peng

V S Srujana Oruganti

Nimesh Ravindra Desai

Neha Choudhary

Wilson Waikon Ung

Robert Allen Donahue

Nikolay Mitev Trandev

Ritu Lakhotia

Apurva Bharatkumar Shah

Ganesh Jaiswal

Diego Fernando Suarez Castillo

Omar Mustafa

Siddarth Rajendra Kumar

Brian Quistorff

Vishnu Gajendran

Sai Sumana Pagidipalli

Eric Radtke

Nishtha Mehrotra

Methods and systems for tracking sources of after-hours activity based on events managed via an electronic communication application. One method includes accessing a log storing time information, receiver information, and originator information of an event managed via the electronic communication application, determining, based on the receiver information, a predetermined after-hours period of a receiver of the event, determining, based on the originator information and stored organizational data, an organizational group of an originator of the event, and determining, based on the time information, whether the event occurred during the predetermined after-hours period of the receiver. The method also includes, in response to determining that the event occurred during the predetermined after-hours period of the receiver, adding a value to an after-hours count associated with the organizational group of the originator, and modifying operation of the electronic communication application as used by at least one user included in the organizational group.

Tracking sources of after-hours activity based on events managed via an electronic communication application

A system and method for configuring an application is described. The system identifies user collaboration data of users of an application. The user collaboration data indicates durations of collaborations between one or more users using the application. The system computes an influencer score of a first user based on the duration of collaborations between the first user and the other users. The system determines that the influencer score of the first user exceeds an influencer score threshold and generates a configuration setting of the application for the first user. The system applies the configuration setting to the application for the first user.

Adoption content propagation based on user collaboration data

A system and method for identifying a user is described. The system identifies collaboration metrics based on user interaction data of users of an application from an enterprise. The system accesses enterprise organizational data of the enterprise and identifies topic data from the user interaction data and the enterprise organizational data. The system trains a machine learning model based on the collaboration metrics, the enterprise organizational data, and the topic data.

User connector based on organization graph

A method may include retrieving metric data on a plurality of groups of users, the metric data including: a value of a performance metric for each of the plurality of groups; and an indication that a first group of the plurality of groups is anomalous with respect to a value of the performance metric of a control group of the plurality of groups; and presenting a user interface, the user interface including: a first portion including a visualization of a comparison of the value of the performance metric for the first group and values of the performance metric of other groups in the plurality of groups; and a second portion including a visualization of trend data of the performance metric for the first group over a period of time.

System for identification of outlier groups

A method may include presenting a graphical user interface (GUI) configured to define a network for analysis, the GUI including: a first portion configured to define a network boundary of an organizational network graph (ONG) in a dataset; a second portion configured to define a beginning time and ending time for the network analysis; and a third portion configured to define a set of one or more graph metrics for vertices in the ONG; retrieving a portion of the dataset based on the network boundary, beginning time, and ending time; transmitting instructions to a distributed computing platform to generate the set of graph metrics on the portion of the dataset; and storing the generated set of graph metrics as associated with the network analysis.

System for offline processing of organizational networks

Growing community of inventors

Bellevue, WA, United States of America

Aaron James Harrison