Abstract: An exemplary automated troubleshooting and resolution system guides an artificial intelligence (AI) engine to perform automated troubleshooting and resolution in a customer support environment. This system uses a user interface data module to collect and store data. The user data includes real-time session data, which holds information about the issues the customer is facing, and live screen data. The system shares the user data with a customer support system, which creates a zip file with the received data and generates a prompt in a prompt generator for automated troubleshooting and resolution. The AI engine analyzes the zip file along with the prompt from the prompt generator and resolves the customer's issue. If the AI engine cannot solve the issue, the AI engine raises a support ticket for manual resolution.

Abstract: A code management system and method for guiding the AI engine to generate code review comments and test scenarios is disclosed. The code review comments and test scenario generation involve the generation of merge requests by the user on the user interface of the version control system. The database stores the merge request details. The code automation system fetches the merge request details and populates the prompt structure. The prompt generator generates prompts to guide the AI engine to generate code review comments and test scenarios using machine learning algorithms.

Abstract: A computer-implemented method of caching multi-session data communications in a computer network, includes the steps of: (a) receiving, intercepting, or monitoring one or more data sessions between a client executing a multi-session application for retrieving a desired content object and one or more metadata services, said client communicating with the one or more metadata services to discover metadata for the content object; (b) analyzing queries and responses exchanged between the client and the one of more metadata services to discover metadata for the content object; (c) receiving or intercepting subsequent data sessions between the client and content sources; (d) identifying a data protocol used by the client and identifying data queries within the data sessions; (e) identifying the content object or portions thereof requested by the client in the data queries; and (f) determining if the content object or portions thereof are stored in cache and, if so, sending the content object or portions thereof stor

Abstract: A computer-implemented method of caching multi-session data communications in a computer network, includes the steps of: (a) receiving, intercepting, or monitoring one or more data sessions between a client executing a multi-session application for retrieving a desired content object and one or more metadata services, said client communicating with the one or more metadata services to discover metadata for the content object; (b) analyzing queries and responses exchanged between the client and the one of more metadata services to discover metadata for the content object; (c) receiving or intercepting subsequent data sessions between the client and content sources; (d) identifying a data protocol used by the client and identifying data queries within the data sessions; (e) identifying the content object or portions thereof requested by the client in the data queries; and (f) determining if the content object or portions thereof are stored in cache and, if so, sending the content object or portions thereof stor

Abstract: According to one example, a method includes facilitating communication between a user web application and an entity. The method may be performed by a communication server of a web communication service. The method includes receiving a request from the user web application to communicate with the entity, establishing a communication session between the user web application and an automated agent, obtaining contextual information associated with the communication session, the contextual information including information provided by the user web application, determining that a user of the user web application should be connected with a live agent, and in response to the determining, connecting the user web application with a terminal of an agent associated with the entity. The method further includes providing the live agent associated with the entity with the contextual information.

Abstract: According to one example, a method includes facilitating communication between a user web application and an entity. The method may be performed by a communication server of a web communication service. The method includes receiving a request from the user web application to communicate with the entity, establishing a communication session between the user web application and an automated agent, obtaining contextual information associated with the communication session, the contextual information including information provided by the user web application, determining that a user of the user web application should be connected with a live agent, and in response to the determining, connecting the user web application with a terminal of an agent associated with the entity. The method further includes providing the live agent associated with the entity with the contextual information.

Abstract: A computer-implemented method of caching multi-session data communications in a computer network, includes the steps of: (a) receiving, intercepting, or monitoring one or more data sessions between a client executing a multi-session application for retrieving a desired content object and one or more metadata services, said client communicating with the one or more metadata services to discover metadata for the content object; (b) analyzing queries and responses exchanged between the client and the one of more metadata services to discover metadata for the content object; (c) receiving or intercepting subsequent data sessions between the client and content sources; (d) identifying a data protocol used by the client and identifying data queries within the data sessions; (e) identifying the content object or portions thereof requested by the client in the data queries; and (f) determining if the content object or portions thereof are stored in cache and, if so, sending the content object or portions thereof stor