Disclosed is a system, method, and computer program product for implementing a log analytics method and system that can configure, collect, and analyze log records in an efficient manner. An improved approach has been described to automatically generate a log parser by analysis of the line content of a log. In addition, an efficient approach has been described to extract key-value content from the log content.

In embodiments described herein, a chatbot is provided for engaging in a chatbot session with one or more computing devices. The chatbot session can be for providing technical support to or for a system or device. Data is collected from networking devices such as access points and, in turn, processed to obtain context data. The context data that is relevant to a chatbot session is provided to the chatbot and, in turn, the chatbot customizes its communications based on the context data.

An embodiment includes a method of secured, remote device access through dynamic scope adjustment in an incident management system. The method includes receiving an incident report indicative of a technical issue at a first device. Responsive to receipt of the incident report, the method includes determining that the first device is assigned an information technology (IT) support provider and dynamically elevating the first device to a scope of the IT support provider. Following a correction of at least a portion of the technical issue by the IT support provider, the method includes dynamically relegating the first device from the scope to prevent remote access to the first device following the correction.

Techniques for identifying similarity between a primary content item and candidate content items are disclosed. The techniques include receiving a similarity request from a client device, the similarity request including contextual data about a primary content item; determining a vector number for the primary content item using the contextual data; identifying candidate content items based on the contextual data; retrieving vector numbers for the identified candidate content items; computing a distance between the vector number of the primary content item and the vector number of each of the candidate content items; ranking the candidate content items based on their computed distance from the primary content item; and selecting at least a subset of the ranked candidate content items as similar content items and communicating the selected subset of the ranked candidate content items to the client device for display on a display of the client device.

A product may be associated with a linked document, a link to which is included in a linking document. Associating the linked document with the product may include accessing document linkage data, identifying a relevant linkage record from the linkage data, using a linking document identifier determined from the relevant linkage record to access linking document information in respect of the linking document, processing the linking document information to identify a first product to which the first linking document relates, and associating the first product with the linked document.

A product may be associated with a linked document, a link to which is included in a linking document. Associating the linked document with the product may include accessing document linkage data, identifying a relevant linkage record from the linkage data, using a linking document identifier determined from the relevant linkage record to access linking document information in respect of the linking document, processing the linking document information to identify a first product to which the first linking document relates, and associating the first product with the linked document.

Systems and methods of the present disclosure are directed to providing remote access capabilities in information technology infrastructure. In particular, systems and methods of the present disclosure can provide remotely access capabilities to facilitate the management, configuration, or maintenance of information technology infrastructure.

Systems and methods of the present disclosure are directed to providing remote access capabilities in information technology infrastructure. In particular, systems and methods of the present disclosure can provide remotely access capabilities to facilitate the management, configuration, or maintenance of information technology infrastructure.

A management device obtains network data of a target network. The network data includes a network topology of the target network and device information of a plurality of network devices in the target network, and the device information includes one or more of interface configuration information, protocol configuration information, and service configuration information. The management device extracts a plurality of knowledge graph triplets from the network data. Each knowledge graph triplet includes two network entities and a relationship between the two network entities. The type of the network entity may be a network device, an interface, a protocol, or a service. The management device generates a knowledge graph of the target network based on the plurality of knowledge graph triplets. The knowledge graph of the target network can be used to visualize the network data.

A method of automated ticket resolution comprises training and testing feature-specific classifier models using ticket database records. The feature-specific classifier models include machine-learning-based classification models related to features of a ticket system. The method includes training and testing feature-specific solution models using resolved ticket solution database records. The feature-specific classifier models include machine-learning-based solution models related to the features. The method includes receiving a ticket inquiry including a ticket indicative of an issue related to the features, generating a problem statement representative of the issue using the tested classifier models, and communicating the problem statement to the tested solution models. The method includes predicting a solution to the problem statement by using the tested solution models. The solution includes directions to resolve the ticket. The method includes implementing the solution in the system to resolve the issue based on certainty characteristics of the solution and recover a system if required.