Abstract: Systems and methods for evaluating and displaying subject-specific compliance standard information are provided. A first message is received from a subject. An automated human interface module responsively engages with the subject through a communication channel. The module includes a node graph. Each node in a first subset of nodes is associated with a predetermined compliance question, or in a second subset of nodes is associated with a respective compliance standard. A message received responsive to the automated human interface module progresses the subject in the node graph, and this is process is repeated until the subject progresses to a node in the second subset. The subject, through this progression, satisfies a first requirement to receive a corresponding benefit of a compliance standard associated with the respective node. Responsive to this progression, a report is generated that includes an expected availability of the benefit corresponding to the progressed node.

Abstract: An autonomous chat bot monitors actions of users on a messaging platform and generates self-initiated chat sessions with the user to gauge users' interest and intent with respect to a target subject matter and the conversations of the chat sessions. Based on the gauged interest and intent, profiles or preferences are generated for the users independent of or relevant to the target subject matter. In an embodiment, customer contact information for the users are provided by the autonomous chat bot to a Customer Relationship Management (CRM) system for further engaging the customer with respect to the target subject matter or other subject matters determined to be relevant from the profiles or preferences.

Abstract: A system for generating a virtual assistant in a messaging user interface the system including a computing device configured to initiate a virtual message user interface between a user client device and the computing device; receive a user message entered by a user into the virtual message user interface; retrieve data relating to a user agenda list including a plurality of agenda actions; analyze the user message to identify an agenda action related to the user message; and generate a response to the user message as a function of analyzing the user message, wherein generating the response further comprises generating a user-action learner, wherein the user-action learner utilizes a previous message and the user message as an input and output a response; identifying a response as a function of generating the user-action learner; and displaying the response within the virtual message user interface.

Abstract: A historical log of a plurality of a type of Internet-connected appliances is collected. a dynamic probabilistic graphical model of the time-lined interactions between subsystems and components of the appliances is generated. The probabilistic graphical model is trained by applying machine learning techniques and applying expert knowledge. A natural language processing (NLP) conversational user interface for diagnostic queries regarding operational errors is provided, and responsive to receive a diagnostic query in a conversational format from a user regarding a particular type, make, and model of an appliance of the plurality of the type of Internet-connected appliances, a diagnostic response is provided to the user interface using the natural language processing conversational format.

Abstract: Methods and systems for managing data are disclosed. One method can comprise storing first data locally relative to a user device and storing second data remotely relative to the user device. The first data and the second data can relate to the same content. The method can also comprise generating a manifest comprising location information relating to the first data and the second data and receiving a request for transmission of one or more of the first data and the second data based upon the manifest.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a packetized message that is generated by signaling of a tag that is included in code of a given online resource and includes an identifier corresponding to a user that is accessing the given online resource, logging a timestamp as a start of a user session at a web site that includes the given online resource, determining that the user session remains active while additional packetized messages continue to be received, determining that the user session at the web site has ended, calculating a duration of the user session based on a difference between the timestamp and a time when the user session at the website was determined to have ended, and modifying distribution of content to the user based on the duration of the user session at the website.

Abstract: Methods and systems for providing content to communication session participants are disclosed. In exemplary methods, at least one source can be monitored. Content relevant to a communication session having one or more participants can be identified from the at least one source. Additionally, the content can be provided as a part of the communication session in a format compatible with the communication session.

Abstract: There are provided systems and methods for intelligent analysis of digital symbols for message content determination. A user may engage in messaging with another user, such as using a messaging platform that may include electronic transaction processing through a service provider. The service provider may have compliance rules, such as to avoid illegal, fraudulent, or otherwise noncompliant electronic transaction processing. In this regard, messaging between users may be analyzed to detect noncompliant messaging and activities by users on the service provider's platforms. The messages may include graphical images or icons, which may be converted to text so that plain text of the message may be analyzed. This may be done through a mapping of images-to-text, as well as an artificial intelligence model train to convert images into text. Thereafter, the plain text may be analyzed to determine if the message violates any compliance rules.

Abstract: The present disclosure provides an Industrial Internet of Things and a control method of an Industrial Internet of Things for handling failure of an assembly line equipment. The Industrial Internet of Things include a user platform, a service platform, a management platform, a sensor network platform, and an object platform interacting in sequence. The service platform, the management platform, and the sensor network platform all adopt an independent arrangement. The object platform is configured as a plurality of manufacturing equipment arranged in sequence according to a process sequence on the assembly line, and each of the manufacturing equipment separately corresponds to the service platform, the management platform, and the sensor network platform.

Abstract: Methods, computer-readable media and apparatuses for sharing an experience via a social network on demand are disclosed. A processor establishes a first video session with a mobile endpoint device of a user, the first video session is established after the mobile endpoint device is authenticated as being allowed to capture a video of a live event at a commercial venue, the first video session containing the video of the live event at the commercial venue that the user is attending, receives at least one social media connection of the user for receiving the video, sends a notification to each social media connection of the at least one social media connection that the video is available, receives a request from the at least one social media connection to access the video, and establishes a second video session with an endpoint device of the at least social media connection.

Abstract: Methods, apparatus, systems, computing devices, computing entities, and/or the like for programmatically generating multi-paradigm feature representations are provided. An example method may include generating a code dataset including a plurality of codes associated with a predictive entity; generating a plurality of semantic feature vectors based at least in part on code description metadata; generating a plurality of structural feature vectors based at least in part on code relation metadata; generating a plurality of multi-paradigm feature vectors based at least in part on the plurality of semantic feature vectors and the plurality of structural feature vectors; generating a prediction for the predictive entity by processing the plurality of multi-paradigm feature vectors using a prediction model; and performing one or more prediction-based actions based on the prediction.

Abstract: The present disclosure provides, among other things, methods and systems of managing communications, the methods and systems including: receiving a first group communication from a first group; determining, based on the first group communication, a first group sentiment; receiving a first communication with a request to send the first communication to the first group; determining, based on the first communication, a first communication sentiment; comparing the first group sentiment with the first communication sentiment; and based on the comparing, performing an action on the request to send the first communication.

Abstract: Systems and methods for scheduling appointments are provided. This scheduling process includes generating an introductory message proposing an appointment with the target with a request for timing. The target responds, and this response is processed for a positive interest and the presence of a proposed time. If there is an absence of positive interest then the messaging may be discontinued. However, in the presence of a positive interest, and a proposed time from the target, the system may access an external scheduling system when a proposed time is present. This includes determining availability of at least one resource at the proposed time. The system then iteratively provides suggested times close to the proposed time when the resource is not available for the proposed time. The system then confirms the appointment when the resource is available for either the proposed time or any of the suggested times.

Abstract: Systems and methods provide a flexible environment for intelligently scoring transactions from data sources. An example method includes providing a user interface configured to generate a rubric by receiving selection of one or more one or more conditions, each condition identifying a tag generated by a classifier in the library of classifiers and for each identified tag, receiving selection of a value for the tag that satisfies the condition and receiving selection of an outcome attribute for the condition. The outcome attribute may be a weight for the tag or an alert condition. The method includes storing the rubric in a data store and applying the stored rubric to scoring units of a transaction. The method also includes aggregating scores for transactions occurring during a trend period and displaying the trend score. In some implementations, at least one classifier in the library is a rule-based classifier defined by a user.

Abstract: In an approach for monitoring data usage in an IoT network, a processor identifies a set of IoT devices. A processor collects a set of baseline readings for the set of IoT devices. A processor collects a set of IoT data from the set of IoT devices as a user answers a survey question. A processor compares the set of baseline readings to the set of IoT data. A processor derives an emotional state of the user while answering the survey question. A processor builds a CART model using the set of baseline readings, the set of IoT data, and a set of survey data. A processor applies the emotional state as a weight to the CART model. A processor outputs the weighted CART model.

Abstract: A system and method are configured for receiving a data transmission encoding a content of a hypertext transfer protocol request and an identification of a first service, determining a first schema definition in a memory that is associated with the first service, the first schema definition including a plurality of schema items, and parsing the content of the hypertext transfer protocol request to identify a plurality of parameters and a plurality of values, each value in the plurality of values being associated with a parameter in the plurality of parameters. The system and method are configured for, for each schema item in the plurality of schema items, identifying a parameter in the content of the hypertext transfer protocol request that matches the schema item, and encoding the value associated with the parameter into a schema information object. The method includes storing the schema information object in the memory.

Abstract: A throughput division means (11) divides a throughput of a communication between a video delivery server configured to deliver, in a plurality of delivery modes, video data to a user terminal device used by a user and the user terminal device in a delivery period of the video data, according to a period of each delivery mode. A playback bit rate estimation means (12) estimates a playback bit rate of the video data, based on a throughput divided according to a period of the delivery mode. Thus, estimation precision of a video playback bit rate can be improved even when a video delivery server delivers video data in a plurality of delivery modes.

Abstract: An edge server receives a first request message for transmission to the host device. The edge server determines a first congestion control algorithm based on the first request message, including characteristics of the first request message. The edge server applies the first congestion control algorithm to the transport connection for application to the transmission of the first request message. Subsequently, the edge server receives a second request message for transmission to the host device over the transport connection.

Abstract: The present disclosure relates generally to facilitating two-way communications. One example involves receiving input data as part of a two-way communication session associated with a plurality of bots, accessing confidence scores from the bots. Mapped scores are then generated for the plurality of bots from the confidence scores using a bot score mapper. A selected bot is identified using the mapped scores, and the two-way communication session is facilitated using the selected bot. Further, techniques are provided to track performance of the selected bot and dynamically updated mapping adjustments in the bot score mapper using feedback and machine learning systems.

Abstract: Provided are embodiments of the present invention are directed to a computer-implemented method, computer-program product, and a system for implementing a contextually-aware chatbot. Embodiments can include receiving a communication between a user and an interacting party, identifying the user of the communication by a user identifier and the interacting party of the communication by an interacting party identifier, and receiving presence information of the user during the communication. Embodiments can also include obtaining a user profile using the user identifier and the interacting party identifier based on the presence information and executing an action on behalf of the user based on the user profile when the presence information indicates the user is away from a user device used for the communication.