A system and method are provided for providing advisory notifications to mobile applications. The method includes interfacing the server device with at least one endpoint within an enterprise system and storing a model trained by a machine learning engine to automatically determine advisory notifications relevant to client data sets stored by the endpoint(s) and/or the at least one endpoint. The method also includes determining a current state of a client account, using the model to determine an advisory notification for the client account based on the current state, referring to a set of rules to determine when to provide the advisory notification in the mobile application, and in what portion of the mobile application to display the notification; and sending the advisory notification via the communications module to a client device to display the advisory notification in the mobile application.

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for displaying a profile from a content feed within a messaging system. The program and method provide for receiving by a messaging application, first user input corresponding to a request for a content feed, the content feed comprising a plurality of media content items; providing, in response to receiving the first user input, for display of the content feed; receiving, by the messaging application, second user input of a predefined gesture performed with respect to a first media content item of the plurality of media content items; determining, in response to receiving the second user input and based on the first media content item, to display a public profile associated with the first media content item; and providing, based on the determining, for display of the public profile.

An Internet of Things (IoT) system is provided. The IoT system includes a plurality of terminal devices, a cloud device, and a human machine interface device. The cloud device is communicatively connected to the terminal devices. The human-machine interface device is communicatively connected to the cloud device via a plurality of first communication channels, and is used for determining a subscription sequence according to a piece of priority information of a plurality of control commands. The human-machine interface device schedules and dynamically subscribes to the first communication channels according to the subscription sequence, so as to transmit the control commands to the cloud device through different first communication channels according to the subscription sequence, so that the cloud device transmits the control commands to the corresponding terminal devices.

An Internet of Things (IoT) system is provided. The IoT system includes a plurality of terminal devices, a cloud device, and a human machine interface device. The cloud device is communicatively connected to the terminal devices. The human-machine interface device is communicatively connected to the cloud device via a plurality of first communication channels, and is used for determining a subscription sequence according to a piece of priority information of a plurality of control commands. The human-machine interface device schedules and dynamically subscribes to the first communication channels according to the subscription sequence, so as to transmit the control commands to the cloud device through different first communication channels according to the subscription sequence, so that the cloud device transmits the control commands to the corresponding terminal devices.

Systems and methods for implementing a representative support system in a task determination system are provided. The task determination system automatically receives in real-time a set of messages between a member and a representative as these messages are exchanged. The set of messages correspond to a set of proposals associated with a task. The task determination system automatically identifying a selection of a proposal from the set of proposals based on an analysis of the set of messages. Based on the selection, the task determination system generates a set of proposal tasks and processes communications associated with these proposal tasks to monitor performance of these proposal tasks for completion of the task.

A device may analyze data associated with a conference call. The device may provide at least a portion of the data to a machine learning model. The device may receive an output from the machine learning model in response to the machine learning model processing at least the portion of the data. The output may include a probability score associated with a determination made by the machine learning model with respect to capturing multimedia content associated with the conference call. The device may output a notification associated with capturing the multimedia content based on the output from the machine learning model.

Systems, methods, and computer readable media for messaging system with augmented reality (AR) makeup are presented. Methods include processing a first image to extract a makeup portion of the first image, the makeup portion representing the makeup from the first image and training a neural network to process images of people to add AR makeup representing the makeup from the first image. The methods may further include receiving, via a messaging application implemented by one or more processors of a user device, input that indicates a selection to add the AR makeup to a second image of a second person. The methods may further include processing the second image with the neural network to add the AR makeup to the second image and causing the second image with the AR makeup to be displayed on a display device of the user device.

Systems, methods, and computer readable media for messaging system with augmented reality (AR) makeup are presented. Methods include processing a first image to extract a makeup portion of the first image, the makeup portion representing the makeup from the first image and training a neural network to process images of people to add AR makeup representing the makeup from the first image. The methods may further include receiving, via a messaging application implemented by one or more processors of a user device, input that indicates a selection to add the AR makeup to a second image of a second person. The methods may further include processing the second image with the neural network to add the AR makeup to the second image and causing the second image with the AR makeup to be displayed on a display device of the user device.

Techniques for determining when to store content and when to refrain from storing content are described herein. In some instances, devices exchange communications that include different types of content, such as text, audio data, video data, image data, or the like. For instance, a first device may receive, from a second device, a communication that includes audio data representing speech of a user of the second device, along with text for display on the first device. The text may comprise a transcription of the audio file, additional commentary provided by the user of the second device, or the like. Upon receiving the communication that includes text and audio data, the first device may determine whether or not to store the audio data. For instance, the first device may determine whether it currently stores this audio content. If so, then the first device may refrain from storing the content again.

The present disclosure provides systems and methods for electronically providing each of a plurality of content distributors with access to a library of content items, facilitating the selection of a combination of the content items, creating a unique set of links for each recipient-distributor combination, and distributing the selected content and unique links via one or more distribution channels to a plurality of recipients. As each link is associated with both a recipient and a distributor, conversion actions stemming from the selection of a link by a recipient are attributed to the proper distributor. Distributors can create content distribution approaches that can be shared with other distributors.