Abstract: Examples described herein can identify items from third-party or backend services, obtain relevant information for those items, and automatically populate hyperlinks relevant to those items in a draft email. A regular expressions search can be executed on the text of a draft email. When a match is found, the email client can request, from a server, an object associated with the matching expression. The server can obtain the object, using one or more connectors that provide access to a backend system, and provide it to the email client. The email client can extract a URL from the object and enter the URL into a links table stored on the user device. The email client can pull the URL from the links table and use it to automatically generate a hyperlink of the regular expression within the body of the draft email.

Abstract: Disclosed herein are examples of systems and methods for formatting electronic messages using machine learning. An electronic message can be obtained, and a processed message can be generated based at least in part on the electronic message. At least one attribute for the processed message can be determined. A formatting specification can be generated based at least in part on the at least one attribute. A reformatted message can be generated based at least in part on the formatting specification.

Abstract: Energy usage of a plurality of appliances is measured using a single meter. A pattern of energy usage with respect to the plurality of appliances is determined dependent upon the measured energy usage, appliance details of the plurality of appliances, and usage hours of the plurality of appliances. The pattern is provided to a user of the appliances.

Abstract: Disclosed are various examples for augmented reality based image protection in enterprise settings. In one example, a managed camera application can generate an artificial reality based camera user interface using image data from a field of view of a camera. An indoor position can be identified using global positioning system (GPS) and indoor positioning data. A sector of the field of view can be identified as a protected image area that depicts a protected or confidential object, and the user interface can be updated to include an AR user interface element that is generated relative to the protected image area that is identified.

Abstract: Examples described herein include systems and methods for providing a workflow on a user device. A user device can receive image data from a camera of the user device. The device can perform object recognition to recognize an object from the image data, as well as classification of the object. The user device can match the object classification with a backend system. The example method can also include launching a workflow form associated with the matching backend system. The user device can launch a form having these fields available, either within the workflow application or within a dedicated application associated with the relevant backend system. The user device can pre-fill one or more information fields in the workflow form based on the object classification, providing the user with a head start on submitting the form to the appropriate system.

Abstract: Systems and methods are described for creating tasks for an action-based checklist. In an example, a checklist system can receive a body of text, such as text from an email, calendar invite, or document. The checklist system can extract words in the text body that correspond to a task description component of stored task templates. Based on the extracted words, the checklist system can identify an applicable task template. The checklist system can parse utterances in the text body and identify an entity value based on example utterances provided in the task template. The checklist system can insert the entity value into placeholders in the task template and generate task from the task template. The checklist system can add the task to a checklist that is provided to a user device.

Abstract: Systems and methods are described for creating a customized response to user feedback. In an example, a feedback system can receive user feedback about a product. The feedback system can parse the user feedback to extract keywords and assign categories to the keywords. The feedback system can also receive update information related to the product. The feedback system can parse the product update information in a similar manner to extract keywords and assign them to categories. The feedback system can compare the parsed user feedback and the parsed product update information and identify any matches that indicate that the product update addresses something mentioned in the user feedback. The feedback system can create a custom notification that highlights the portion of the product update information that matched to the user feedback.

Abstract: Systems and methods are described for providing check-in service that dynamically manages in-person meetings. In an example, the check-in service can receive a meeting request for a meeting of a first user with a second user at a location. The first user can request the meeting using a graphical user interface (“GUI”) or the check-in service can identify a meeting request based on a message sent from the first user to the second user. When the second user visits the location, the check-in service can send the meeting request to a user device of the second user. The second user can respond on the user device by accepting, rejecting, or postponing the meeting request. If postponed, the check-in service can place the meeting request in a queue and resend the meeting request when the second user next visits the location. If accepted, the check-in service can notify the first user.

Abstract: Disclosed are various aspects of voice skill session lifetime management. In some examples, an inaudible sonic check-in announcement is detected. An inaudible sonic request for check-in authentication is emitted by a voice-activated device. An inaudible sonic authentication is detected. The inaudible sonic authentication includes a service provider identifier. The inaudible sonic check-in announcement is identified as authentic based on task data retrieved based on the service provider identifier. An inaudible sonic approval to perform a task specified in the task data is emitted by the voice-activated device.

Abstract: Methods and systems are described for intelligently managing hero cards generated for a user profile. In an example, a server can collect user interaction data that measures how a user interacts with system components. The system components can include emails, hero cards, and software applications. The server can analyze the user interaction data to determine whether a new hero card type should be enabled for a user profile, whether an active hero card type should be disabled for the user profile, and whether parameters for action options on hero cards should be changed for the user profile. The server can make changes to hero cards for the user profile so that the user can receive customized hero cards based on the user's behavior.

Abstract: Disclosed are various approaches for performing automated actions in a conferencing service. Distractions can be detected and users can be muted. Breakout rooms can be suggested to attendees based upon the user's identity. Additionally, event summaries and recaps can be generated for users who are late-arriving or who depart and return to the event.

Abstract: Disclosed are various approaches for authenticating a user through a voice assistant device and creating an association between the device and a user account. The request is associated with a network or federated service. The user is prompted to use a client device, such as a smartphone, to facilitate an authentication flow. A soundwave is played through the client device that contains a secret key, which is then sent to a service that validates the secret key. An association between the user account and the voice assistant device can then be created so that access to third party services can occur.

Abstract: Disclosed are various approaches for detecting user availability. A work pattern can be generated based upon user activity data taken from various sources. A work pattern can be provided to an email client or another requesting service for predicted availability of a user.

Abstract: Disclosed herein are examples of systems and methods for tailoring the posting of notifications based on device activity status. A client device can collect activity data associated with the client device. The client device can provide the activity data to a management service. The client device can receive from the management service a command to disable a capability of an application installed on the client device to post notifications. The client device can cause the capability of the application to post notifications to be disabled.

Abstract: Methods and systems are described for a distributed auto discovery service for device enrollment. In an example, a user device enrolling in a Unified Endpoint Management (“UEM”) system can receive an email address. The enrolling user device can identify, on a local network that the enrolling user device is connected to, other user devices that are already enrolled with the UEM system. The unenrolled user device can send a discovery request to the enrolled user devices that includes the domain of the email address. One or more of the enrolled user devices can respond with a tenant identifier associated with the domain and a Uniform Resource Locator for a server that the unenrolled user device can contact to complete enrollment. The unenrolled user device can contact the server and complete enrollment using the email address and tenant identifier.

Abstract: Disclosed are various examples for augmented reality based image protection in enterprise settings. In one example, a managed camera application can generate an artificial reality based camera user interface using image data from a field of view of a camera. An indoor position can be identified using global positioning system (GPS) and indoor positioning data. A sector of the field of view can be identified as a protected image area that depicts a protected or confidential object, and the user interface can be updated to include an AR user interface element that is generated relative to the protected image area that is identified.

Abstract: Disclosed herein are examples of systems and methods for synchronizing notification actions across multiple enrolled devices. A management service can receive from a first client device metadata associated with a notification posted on the first client device. The management service can receive from the first client device an indication of an action performed with respect to the notification. The management service can determine whether to propagate a new notification state to a second client device based at least in part on a type of the action and a current notification state associated with the second client device. In response to determining to propagate the new notification state to the second client device, the management service can provide to the second client device a command to change the current notification state to the new notification state.

Abstract: Disclosed are various approaches for remote working experience optimization. In some examples, a management service receives task execution data and corresponding user data for multiple client devices. The management service inputs target user context data along with the task execution data and the corresponding user data into a prediction model to identify a task and a task schedule that indicates a time to download and cache task content. Instructions are transmitted for a management agent to download and cache the task content according to the task schedule.

Abstract: Systems and methods are described for passing a session between smart devices. A user can initiate a session on a first smart device. The first smart device can detect the user exiting a detection area associated with the first smart device. The first smart device can pause the session and notify a server. The server can instruct a device of the user to listen for a device identifier of a second smart device. The second smart device can detect the user entering a detection area and broadcast a device identifier. The user device can receive the device identifier and send it to the server. The server can verify the device identifier and send a credential to the user device. The user device can send the credential to the second smart device. The second smart device can authenticate with the server using the credential. The second smart device can then continue the session.

Abstract: Disclosed are various approaches for validating a relevance or an accuracy associated with an item being attached to a message or inserted inline with the text of the message or other type of document. An addition of the item (e.g., attachment, hyperlink, embedded image, etc.) to the message being generated by a sender can be detected. Message keywords associated with the message content and item keywords associated with the item content can be identified following an analysis of the message content and item content. The message keywords and item keywords can be compared to determine a likelihood of a mismatch between the item and the message. Upon determining a potential mismatch and prior to the message being sent to a recipient, a notification identifying the likelihood of the mismatch is presented to the sender.