System trains machine learning model to determine content data, metadata, and context data for support ticket communications, in response to receiving support ticket communications. Machine learning model receives communication associated with support ticket, and determines content data, metadata, and context data for communication. System converts content data, metadata, and context data for communication into first impulse for first channel and second impulse for second channel. System determines first channel value based on first type of conversion of first impulse and any impulses for first channel that are converted from data that is determined for support ticket event. System determines second channel value based on second type of conversion of second impulse and any impulses for second channel that are converted from data that is determined for support ticket event. System uses first channel value and second channel value to generate priority associated with support ticket, and outputs priority.

An on-demand computing services environment provides computing services to clients via the Internet. The on-demand computing services environment may be associated with skills that each identify the use of a one or more features of the environment. Skill ratings associated with one or more of the skills may be identified for a user account. A recommendation profile for the user account may be determined based on the designated skill ratings and a skill graph indicating dependency relationships between the skills. The recommendation profile may identify one or more training modules to be completed in association with the user account. A recommendation message including one or more recommendations selected from the recommendation profile may be transmitted to the client machine.

An apparatus in one embodiment comprises a processing platform that includes a plurality of processing devices each comprising a processor coupled to a memory. The processing platform is configured to implement at least a portion of one or more cloud-based systems. The processing platform further comprises an artifact details analysis module configured to determine one or more enterprise resource attributes required for resolving a request artifact, an enterprise resource identification module configured to identify one or more available enterprise resources associated with the one or more resource attributes required for resolving the request artifact, and an artifact-resource matching module configured to determine one of the identified available enterprise resources to assign to the request artifact based on one or more usage parameters attributed to the identified available resources and route the request artifact to the determined available enterprise resource.

A method of providing Internet commercialization services to a content owner may include obtaining rights from an owner of Web page contents on a Web page to commercialize the Web page contents, obtaining an ad from an advertiser for placement on the Web page, the advertiser agreeing to pay for placement of the ad, paying for traffic to the Web page based on a bid to a traffic partner and sharing profits with the owner of the Web page contents, if any, from payments by the advertiser above payment to the traffic partner for the traffic. The content owner may be a publisher of content on the Internet. The traffic partner may be a search engine. The method may include automatically providing Internet commercialization services to an Internet publisher. Various aspects of the method may be modified in a closed loop fashion to optimize profits.

A website hosting provider may assist hosting customers with the creation and publication of their websites. The website hosting provider may receive and convert customer service voice communications into customer service text communications. The website hosting provider may organize the customer service text communications in clusters so that all of the customer service text communications in the same cluster are regarding the same topic. The website hosting provider may also assign a score, regarding the effectiveness, and hosting customer variables, regarding the calling hosting customer, to each customer service text communication. When a new, i.e., current hosting customer calls regarding a topic and has similar hosting customer variables, the website hosting provider may determine, based on the past customer service text communications, a set of optimal questions. The current hosting customer may respond to the questions and then receive a recommendation from the website hosting customer regarding creating or publishing their website.

An apparatus in one embodiment comprises at least one processing platform comprising a plurality of processing devices. The at least one processing platform is configured to establish a connection between a given one of a plurality of Internet of Things (IoT) clients and a given one of a plurality of IoT brokers via a connectivity layer providing the plurality of IoT clients with centralized access to the plurality of IoT brokers, and to exchange data between the given one of the plurality of IoT clients and the given one of the plurality of IoT brokers via the connectivity layer.

A device may receive data related to operations of a plurality of managed devices. The device may determine, after receiving the data, a multi-entity profile for the data. The device may determine, using the multi-entity profile, a set of sub-models for the data after determining the multi-entity profile. The set of sub-models may be associated with processing the data in a contextualized manner. The device may generate a model based on the set of sub-models. The device may perform one or more actions related to the plurality of managed devices or the at least one alert based on respective scores associated with the plurality of managed devices after generating the model.

A website hosting provider may assist hosting customers with the creation and publication of their websites. The website hosting provider may receive and convert customer service voice communications into customer service text communications. The website hosting provider may organize the customer service text communications in clusters so that all of the customer service text communications in the same cluster are regarding the same topic. The website hosting provider may also assign a score, regarding the effectiveness, and hosting customer variables, regarding the calling hosting customer, to each customer service text communication. When a new, i.e., current hosting customer calls regarding a topic and has similar hosting customer variables, the website hosting provider may determine, based on the past customer service text communications, a set of optimal questions. The current hosting customer may respond to the questions and then receive a recommendation from the website hosting customer regarding creating or publishing their website.

A method is provided for diagnosing and assessing the status of a mobile device. Device status data acquired from a mobile device may be compared to benchmark values to diagnose potential faults with the mobile device. The potential faults with the mobile device, in connection with a determined probability of resolving at least one potential fault, are used to evaluate and determine the status of the mobile device. A corresponding system, apparatus, and computer program product are also provided.

Responding to a data subject access request includes receiving the request and identifying the requestor and source. In response to identifying the requestor and source, a computer processor determines whether the data subject access request is subject to fulfillment constraints, including whether the requestor or source is malicious. If so, then the computer processor denies the request or requests a processing fee prior to fulfillment. If not, then the computer processor fulfills the request.