Microsoft Technology Licensing, LLC

Gary Neitzke

David C Tse

David Christopher Tse

Sattawat Suppalertporn

Suresh Sitaula

Shuyao Qi

Jakob Anders Moberg

Hagar Emma Moshe

The present disclosure relates to processing operations configured for intelligent management of a synchronization interval usable to synchronize data for an application/service between local data storage and distributed data storage. A classification prediction for a synchronization interval may be generated that is used as prediction for modifying the synchronization interval when a plurality of computing devices, linked to one or more user accounts, are used to access content. For instance, a suggestion is made as to whether a synchronization interval should be made faster, slower or even remain unchanged when a user account is accessing content. This may occur based on analysis of contextual factors described herein, thereby enabling a synchronization prediction component to make a best possible prediction for setting a synchronization interval. Artificial intelligence processing may be trained to generate the classification prediction for a synchronization interval. The classification prediction is utilized to manage modification of synchronization interval.

Intelligent management of a synchronization interval for data of an application or service

Methods are disclosed for, within a note-taking application, selectively synchronizing different notebook components with a centralized server. In one particular embodiment, different notebook components are assigned different synchronization rates based on usage characteristics. The different notebook components are synchronized more or less frequently relative to each other based on the assigned synchronization rates.

Usage based synchronization of note-taking application features

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Duvall, WA, United States of America

Gary Neitzke