Abstract: Disclosed are various approaches for peer-to-peer device security detection. In some examples, a first client device transmits verification data to a second client device. The verification data includes a public key verification certificate of the client device, and a time-based session token generated by the first client device. The first client device receives a preliminary cross-comparison package from the second client device. The preliminary package includes a spoof-check token, and peer device context data of the second client device. The first client device generates a cross-comparison package using the preliminary cross-comparison package and local device context data of the first client device, and transmits the cross-comparison package to a management service for cross-comparison.

Abstract: Systems and methods are provided for optimizing and securing an enterprise voice service accessed by an external voice assistant device. An enterprise voice assistant installed on a client device acts as an enterprise voice service for an external voice assistant device. The enterprise voice assistant receives a voice query from the external voice assistant device. The voice query is processed using a machine learning model to extract an intent and at least one slot. The extracted intent and at least one slot are used to determine whether a response to the voice query can be generated using local enterprise data that was previously received and stored by the client device from a management server. The response is generated based on the determination by using the local enterprise data or by sending the extracted intent and at least one slot to and receiving the response from the management server.

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: Systems and methods are described for providing recommendations for an improved user experience in online meetings. A recommendation engine can aggregate data from user devices to make recommendations before, during and after online meetings. Before a meeting, the recommendation engine can recommend which of a user's devices to use for the meeting. During the meeting, the recommendation engine can identify current or anticipated issues and recommend changes the user can make to correct or prevent the issue. After meetings, the recommendation engine can aggregate data and identify an ongoing issue for one or multiple users. The recommendation engine can identify the cause of the issue and make recommendations to the user or an administrator accordingly.

Abstract: Systems and methods are described for providing recommendations for a user experience in online meetings. A recommendation engine can aggregate data from user devices to make recommendations before, during and after online meetings. Before a meeting, the recommendation engine can recommend which of a user's devices to use for the meeting. During the meeting, the recommendation engine can identify current or anticipated issues and recommend changes the user can make to correct or prevent the issue. After meetings, the recommendation engine can aggregate data and identify an ongoing issue for one or multiple users. The recommendation engine can identify the cause of the issue and make recommendations to the user or an administrator accordingly.

Abstract: Systems and methods for 3D printer management can verify the printing of a 3D object based on instructions inserted into the 3D object file that cause the 3D printer to perform extra actions, thus emitting certain sounds while printing. In one example, a print server can receive a request to print a 3D object. The print server can insert snippets of instructions at random into the 3D object file. A recording device can record audio of the 3D printer printing the 3D object. The recording device can send the audio to the print server. The print server can verify that the audio emitted by the 3D printer while printing the 3D object match up with the snippets inserted into the 3D object file.

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: A method for an electronic device for managing one or more browsing tabs of a browsing sessions is provided. The method receives a request for a browsing tab. The method determines whether to process the request for the browsing tab locally on the electronic device based on one or more parameters associated with at least one of the electronic device or a destination associated with the request. When it is determined to process the request locally, the method performs the browsing tab locally on the electronic device. However, when it is determined not to process the request locally, the method sends the request for the browsing tab to a remote server to perform the browsing tab remotely on the remote server.

Abstract: Systems and methods are described for extracting and populating content from an email link. In an example, a machine learning (“ML”) model can be trained based on user interactions with emails. When an email is received for the user, the ML model can be applied to score the email. An application can extract a link in the email. The application can retrieve a web page with the link and store it locally. The application can create a card for the email that includes the link and insert the card into a graphical user interface (“GUI”). A user can access the GUI and select the card. The web page can be retrieved from the local storage and displayed in the GUI.

Abstract: Disclosed are various approaches for determining an optimal communication channel for contacting a user. In one such embodiment, application usage data corresponding to user interactions on available communication channels within an enterprise environment is obtained and used to generate a knowledge graph representing an individual user communicating over two or more of the available communication channels with other users. Thus, based on the knowledge graph, at least one optimal communication channel can be provided for contacting the individual user, wherein the at least one optimal communication channel is represented in the knowledge graph.

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.

Abstract: Disclosed are various approaches for sharing uniform resource locators (URLs) and enforcing browser restrictions along with a shared URL. Browser restrictions can be identified by appending commands to the shared URL that instruct the receiving browser to activate certain browser restrictions. Browser restrictions can also be enforced using a URL restriction validator, which is a server process that can facilitate enforcement of browser restrictions along with a shared URL.

Abstract: The present disclosure relates to translation of voice commands using machine learning. Command text corresponding to a voice command can be received, and at least one error can be identified in the command text. A comparison can be performed between the at least one error and at least one lexical pattern corresponding to a user associated with the voice command. Modified command text can be generated based at least in part on the comparison between the at least one error and the at least one lexical pattern. The modified command text can be determined to fail to comprise an additional error.

Abstract: Disclosed are various approaches for dynamically scheduling meetings for user groups. Users participating in an email thread can provide feedback regarding whether they would like for a meeting to be scheduled. A meeting service can automatically schedule a meeting based upon user feedback or an analysis of the email thread.

Abstract: Disclosed are various embodiments for identifying a connection to an external user or organization based upon analysis of data sources within an enterprise. User activity within communications applications can be assessed to identify a closest connection to the external user or organization based upon frequency of communication, age of communication, and/or a sentiment analysis.

Abstract: Disclosed are various embodiments of identifying a reusable email template for use in an email client based on a file attachment, an email recipient, and/or other factors, such as date and time. Various embodiments can identify an unsent email, the unsent email comprising at least a body and an attachment file, analyze the attachment file to determine one or more attachment categories, select an email template from a plurality of email templates based at least on the one or more attachment categories, and populate the body of the unsent email with the selected email template.

Abstract: Disclosed are various approaches for surfacing contextual training programs for users. In some examples, user context data is identified for a user account. The user context data is inputted into a training recommendation model. A training recommendation is generated. The training recommendation recommends a training program that is mapped to the user context data by the training recommendation model. The training recommendation or the training program is surfaced to a client device that is identified by the contextual training service.

Abstract: Disclosed are various approaches for predicting a domain expert. In one such embodiment, application usage data corresponding to conversations between users of a collaboration messaging service on a particular topic is obtained and used to generate a knowledge graph representing the users involved in the conversations on the particular topic. Thus, based on the knowledge graph, at least one user can be identified as a domain expert for the particular topic, wherein the at least one user is represented in the knowledge graph.

Abstract: Disclosed are various approaches for determining an optimal communication channel for contacting a user. In one such embodiment, application usage data corresponding to user interactions on available communication channels within an enterprise environment is obtained and used to generate a knowledge graph representing an individual user communicating over two or more of the available communication channels with other users. Thus, based on the knowledge graph, at least one optimal communication channel can be provided for contacting the individual user, wherein the at least one optimal communication channel is represented in the knowledge graph.

Abstract: Disclosed are various examples for to generating personalized user experiences in the form of short-form videos that summarize informational topics that are selected to present to a user according at least one of a user context or a user interest. As the informational topics are identified for a given user, the informational topics can be applied as inputs to a recommendation model that is trained to recommend one or more of the topics to summarize and present to a user in visual form based on at least one of the user context or the user interest. Once a topic is recommended by the recommendation model, a video or other type of visual content can be automatically generated and presented to a user to allow the user to consume the information in the summarized form.