Systems, methods, and software described herein manage tickets in an industrial automation environment. In one implementation, a ticket management service is configured to obtain a plurality of tickets from a plurality of data sources and extract attributes from each ticket in the plurality of tickets. Once extracted, the ticket management service may, for each ticket in the plurality of tickets, generate at least one ticket in a unified format and add the at least one ticket to a ticket database. The ticket management service may then use the ticket database to present ticket summaries to users associated with the industrial automation environment.

An approach to ranking identified technical solutions summaries may be provided. The approach may include extracting data from technical tickets, subject matter expert reports, and online forum data. The approach may include receiving data relating to prior applications of one or more technical solutions. Steps associated with a technical solution may be included in the information from the prior application of the technical solutions and updated based on the information from prior applications of technical solutions. The approach may include generating a risk score and a cost score for the updated technical solution based on contextual factors associated with a user or machine. The approach may include enriching a static summary for the technical solution with the cost and risk score. The approach may include ranking the enriched summary against multiple potential technical solutions.

The present disclosure facilitates improving the operation of a cloud service by updating its configuration information and its resource requirements. The resource utilization of the cloud service can be monitored, and a decision logic module can determine whether action is required. When action is required, an update can be prepared and applied, and notifications can be generated about the condition and its resolution. Resolutions can require correlation of multiple cloud services to provide real-time access to information that is not otherwise available to a single entity. Resolutions can be learned and predicted in a number of ways using a predictive engine.

The present disclosure facilitates improving the operation of a cloud service by updating its configuration information and its resource requirements. The resource utilization of the cloud service can be monitored, and a decision logic module can determine whether action is required. When action is required, an update can be prepared and applied, and notifications can be generated about the condition and its resolution. Resolutions can require correlation of multiple cloud services to provide real-time access to information that is not otherwise available to a single entity. Resolutions can be learned and predicted in a number of ways using a predictive engine.

A method and system corrects a content delivery infrastructure. The method of the system includes receiving a request to resolve reported issues for the content delivery infrastructure, collecting content delivery metrics for the content delivery infrastructure, executes a language transformer model on the request and the content delivery metrics to generate a set of possible resolutions with confidence ratings, and implementing an automated solution based on a resolution from the set of possible resolutions, in response to the resolution having a confidence rating above a threshold.

A recovery support apparatus includes an index value calculation means which calculates a predetermined index value with respect to a recovery work sequence on the basis of the recovery work sequence indicating a work procedure for recovery from an abnormality that has occurred in an apparatus group constituting a communication network, and an output means which outputs the index value calculated by the index value calculation means to a predetermined output destination.

A recovery support apparatus includes an index value calculation means which calculates a predetermined index value with respect to a recovery work sequence on the basis of the recovery work sequence indicating a work procedure for recovery from an abnormality that has occurred in an apparatus group constituting a communication network, and an output means which outputs the index value calculated by the index value calculation means to a predetermined output destination.

A remote network management platform is provided that includes an end-user computational instance dedicated to a managed network, a training computational instance, and a prediction computational instance. The training instance is configured to receive a corpus of textual records from the end-user instance and to determine therefrom a machine learning (ML) model to determine the numerical similarity between input textual records and textual records in the corpus of textual records. The prediction instance is configured to receive the ML model and an additional textual record from the end-user instance, to use the ML model to determine respective numerical similarities between the additional textual record and the textual records in the corpus of textual records, and to transmit, based on the respective numerical similarities, representations of one or more of the textual records in the corpus of textual records to the end-user computational instance.

A framework for security information and event management (SIEM), the framework includes a first data store; a data router; one or more parsing mechanisms; one or more correlation machines; and one or more workflow engines, wherein said framework performs SIEM on behalf of multiple subscribers to said framework.

A framework for security information and event management (SIEM), the framework includes a first data store; a data router; one or more parsing mechanisms; one or more correlation machines; and one or more workflow engines, wherein said framework performs SIEM on behalf of multiple subscribers to said framework.