Embodiments include methods, systems, and computer program products for determining and providing a feature notification within a mainframe environment. The computer-implemented method includes generating, using a processor within the mainframe environment, one or more new features or feature updates. The processor further assembles documentation associated with the one or more new features or feature updates. The processor further transmits the assembled documentation to one or more user devices. The processor further transmits the one or more new features or feature updates to the one or more user devices in response to receiving a request to download the one or more new features or features updates to the one or more user devices.

A system and method for creating a model for predicting and reducing subscriber churn in a computer network. The method including: for a predetermined time period: retrieving traffic flow data per subscriber for a plurality of subscribers in the computer network; determining at least one metric per subscriber from the traffic flow data; determining at least one systemic feature associated with the plurality of subscribers; and storing the at least one amalgamated metric and feature; on reaching the predetermined time period create the model by: analyzing at least one metric and at least one feature for the predetermined time period; predicting, per subscriber, whether the subscriber is going to churn within a churn period in the future based on the analysis; validating the prediction by determining whether the subscriber actually churned during the churn period; and creating the model based on the validated predictions.

A new ecosystem monitoring solution provides novel features including a dashboard service, a dashboard notifier, a near real time query processor. The dashboard service can continuously aggregate, through the dashboard notifier and optionally dashboard agents, metadata from disparate ecosystem components of a complex computing platform or ecosystem. The metadata include metrics of crawling, data ingestion, and content enrichment activities and health information of the disparate ecosystem components. The metrics are processed with respect to a time window utilizing an expression tree dynamically constructed by the query processor. The query processor can navigate the expression tree to form collection models. Each collection has aggregation functions for aggregating a set of metrics specified in a view model. Responsive to a view request, the view model can be dynamically updated utilizing the collection model and communicated to a user device for rendition and presentation of a view through a dashboard user interface.

Some of the embodiments herein provide a seamless cloud of storage. This storage may be content-addressable storage. An end application may or may not be exposed to the fact that content-addressable storage is used. Various embodiments herein provide event notification, which may allow applications or users to subscribe to particular events (such as storage of an X-ray by a particular entity). Some embodiments provide for a shared archive. A shared archive may provide homogeneous access to medical data, etc. that was previously stored into the CAS cloud by heterogeneous applications, varied data types, etc. Additionally, embodiments herein allow for the creation and distribution of virtual packages. For example, a user may create a virtual package for all images related to a patient so that she may have a virtual package of all of her medical data to present to a referring physician.

A device receives a communication associated with a support issue encountered by a user, and receives information identifying one or more self-support actions performed by the user in relation to the support issue. The device assigns the communication to a position in a support queue. The support queue includes information identifying positions of other communications received from other users, when the other communications are received, and self-support actions performed by the other users. The device associates the information identifying the one or more self-support actions with information identifying the position of the communication, and applies respective weights to the one or more self-support actions. The device generates a score for the communication based on applying the respective weights, and modifies the position of the communication based on the score. The device performs one or more actions based on modifying the position of the communication.

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.

Examples of techniques for adding a recommended participant to a communication system conversation are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes monitoring, by a processing device, a conversation between participants that are using a communication system. The method further includes determining, by the processing device, a knowledge gap in the conversation between participants based at least in part on analyzing content of the conversation. The method further includes selecting, by the processing device, a recommended participant to add to the conversation, the recommended participant being selected based at least in part on the knowledge gap. The method further includes establishing, by the processing device, a connection between the communication system and a user device associated with the recommended participant to add the recommended participant to the conversation.

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.

Computing systems, computing apparatuses, computing methods, and computer program products are disclosed for optimizing a webpage. An example computing method includes determining a first average number of clicks (ANC) value for a first set of webpage nodes based on first webpage decision tree data and historical usage data. The example computing method further includes generating semantic grouping data for the first set of webpage nodes based on the first webpage decision tree data and webpage node description data. The example computing method further includes determining a second ANC value based on the first set of webpage nodes. The example computing method further includes generating, based on the second ANC value and the semantic grouping data, second webpage decision tree data.

Responding to a data subject access request includes receiving the request and validating an identity of the requestor. In response to validating the identity of the requestor, a computer processor determines whether the data subject access request is subject to fulfillment constraints. If so, then the computer processor notifies the requestor that the data subject access request is subject to one or more limitations and the computer processor takes action based on those limitations. Fulfillment constraint data is updated and maintained in a database or server.