Microsoft Technology Licensing, LLC

Dieter P Jansen

Tejas Pravin Mehta

Janet Longhurst

Wenvi Hidayat

Mary Ellen Arndt

Sooraj Ashutosh Purandare

John Lincoln DeMaris

Joe Keng Yap

Simon Bourdages

Hani Gamal Loza

John L Demaris

Zhigang Zhang

Hongliang Zhu

Huan Wang

Yogesh Abhaykumar Ratnaparkhi

Mrinalini Chakravarty

A cloud-based network receives a public key of a public/private key pair and a credential for accessing secrets associated with a user network. The cloud-based network receives, from a user interface configured to facilitate remote control of the user network, a command to be executed at the user network. The cloud-based network encrypts, using the public key, the credential and the command. The cloud-based network forwards, to one or more client devices, the encrypted credential and command. The client devices are configured to decrypt the encrypted credential and command using a private key of the public/private key pair and execute the command on the user network.

Centralized remote migration client credential management

Techniques are described herein that are capable of intelligently updating a collaboration site or a template that may be used to create a new collaboration site. The collaboration site or the template may be updated to include new features based on (e.g., based at least in part on) a likelihood that the new features will be valuable to users. The likelihood that new features will be valuable to the users may be determined (e.g., derived) using heuristics, machine learning, intelligent user experiences, and/or an understanding of user behavior gathered by a service that provides the collaboration site or the template. The likelihood may be compared to a likelihood threshold to determine whether the collaboration site or the template is to be updated. In accordance with this example, the update may be made if the likelihood is greater than or equal to the likelihood threshold.

Intelligently updating a collaboration site or template

Techniques are described herein that are capable of iteratively updating a collaboration site or a template that may be used to create a new collaboration site. The collaboration site or the template may be updated to include new features based on (e.g., based at least in part on) a likelihood that the new features will be valuable to users. The likelihood that new features will be valuable to the users may be determined (e.g., derived) using heuristics, machine learning, intelligent user experiences, and/or an understanding of user behavior gathered by a service that provides the collaboration site or the template. The likelihood may be compared to a likelihood threshold to determine whether the collaboration site or the template is to be updated. In accordance with this example, the update may be made if the likelihood is greater than or equal to the likelihood threshold.

Iteratively updating a collaboration site or template

Growing community of inventors

Renton, WA, United States of America

Dieter P Jansen