Microsoft Technology Licensing, LLC

Jagannatha Raju Dantuluri

Gopal Parupudi

Shira Weinberg

Jayaram N M Nanduri

Colleen Elizabeth Hamilton

Harish Jayanti

Richa Prasad

Keith Robert Kinnan

Ram P Sunkara

Prabhu Padhi

Ling-Ya Huang

Naganandhini Kohareswaran

Einat Hazan

Karan Singh

One or more techniques and/or systems are provided for surfacing scheduling conflicts and/or for facilitating appointment scheduling based upon conflict detection. A user may maintain user appointment data comprising user appointments (e.g., calendar entries within a work calendar). Because user activity may not be fully reflected in the appointment data (e.g., no calendar entries for routine grocery shopping, soccer practice, etc.), potential conflicts may exist between user appointments and the true availability of the user. Accordingly, user signals (e.g., email(s), location check-ins, etc. associated with soccer practice) may be evaluated to generate a user inferred behavior pattern that may be used to identify a potential conflict with a user appointment (e.g., where the user consents to the gathering and/or use of such user signals). A warning of the potential conflict may be surfaced to the user (e.g., a Tuesday dinner calendar meeting conflicts with routine soccer practice on Tuesday evenings).

Scheduling conflict notification

Systems and methods provide a customer engagement platform experimentation framework. Experiments are created to determine which variation of a particular promotion (i.e., an experiment) is most effective. Initially, users are split into buckets that define whether a particular user is in a control group or a treatment group for a particular experiment. Users are assigned into buckets differently for unrelated experiments and similarly for related experiments. This ensures the users are in either the control group or the treatment group for all related experiments. Key performance indicators (KPIs) of users that experienced the experiment are compared with KPIs of users that did not experience the experiment. An assessment of the experiment can then be provided based on the compared KPIs.

Customer engagement platform experimentation framework

A method of certificate provisioning is provided for entities that are not associated with a domain. In some implementations, certificate provisioning methods allow non-domain-joined entities to request and receive certificates through an automated process with a certificate provisioning portal. Through the automated process, the identity of the client may be verified using security identity information. The security identity information may include a pre-shared secret or a previously issued certificate from a trusted Certificate Authority.

Automated certificate provisioning for non-domain-joined entities

Growing community of inventors

Sammamish, WA, United States of America

Jagannatha Raju Dantuluri