Microsoft Technology Licensing, LLC

Ankur Satyendrakumar Sharma

Saliha Azzam

Steven Paul Breyer

Xiang He

Youssef El Fassy Fihry

Manal Hussein Alassaf

Eeshan Manish Shah

Vikram Rajasekaran

Devlin David Bentley

Timothy Michael Fuqua

Ali Alvi

Gus Ralph Spence, Iii

Preston A Patton

Aspects extend to methods, systems, and computer program products for ranking contextual metadata to generate relevant data insights. Aspects of the invention can be used to enhance data analytics by automatically deriving relevance signals used to generate insights closely related to the context in which a user is exploring or analyzing data. User experiences can include embedded data visualizations, search engines, and natural language querying systems to help users understand their data more effectively. By utilizing metrics on the relevance information, insights related and/or relevant to the context in which the user is analyzing data can be created. Thus, relevance information can define a scope for a variety of automatically generated insights of data. Insight generation can be based on computed relevance signals that target areas interesting to users.

Ranking contextual metadata to generate relevant data insights

On a computing device, a user interface (UI) layout file is received. The UI layout file defines a visual layout of the GUI. The UI layout file includes a plurality of UI elements each including a UI element identifier and a UI element descriptor. The GUI is displayed via a display according to the UI layout file. An update object specifying UI elements in the UI layout file to be changed is received. The update object includes for each UI element to be changed, the UI element identifier and an update payload including updated information to be displayed via the UI element. The GUI is changed via the display according to the update object.

Remote management of a graphical user interface

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Redmond, WA, United States of America

Ankur Satyendrakumar Sharma