Abstract: Systems and methods are disclosed for providing a multi-component application, including a first and second component, and a first and second server. The first component may be implemented at the first server, while a second component may be implemented at a client device. An end user of a client device may request access to metadata stored on the second server that is utilized by the second component to implement the multi-component application. The end user may authenticate with the first component. The first component may then communicate with the second server to authenticate the end user to the second server, thereby granting the end user access to the second server without having to reauthenticate to the second server.

Abstract: A computer system includes memory hardware configured to store a transcription database, a call database, and instructions. The transcription database includes multiple call transcription data entries. The call database includes multiple agent call log data entries. The computer system executes instructions including joining the call transcription data entries with the agent call log data entries according to associated timestamps. The instructions include, for at least one of the set of joined call data entries, generating an input vector for an unsupervised machine learning model. The instructions include supplying the input vector to the model to assign an output topic classification of the model to the joined call data entry associated with the input vector, and supplying the input vector to at least one sub-topic model associated with the output topic classification to assign one or more sub-topic output classifications to the joined call data entry associated with the input vector.

Abstract: A computer system includes processor hardware configured to execute instructions that include joining at least a portion of multiple call transcription data entries with at least a portion of multiple agent call log data entries according to timestamps associated with the entries to generate a set of joined call data entries, and validating the joined call data entry by determining whether a transcribed entity name matches with entity identifier information associated with the agent call log data entry. The instructions include preprocessing the joined call data entry according to word confidence score data entries associated with the call transcription data entry to generate preprocessed text, performing natural language processing vectorization on the preprocessed text to generate an input vector, and supplying the input vector to an unsupervised machine learning model to assign an output topic classification of the model to the joined call data entry associated with the input vector.

Abstract: Systems and methods are disclosed for providing a multi-component application, including a first and second component. Functionality of the application may be easily and rapidly modified by modification to the first component, without requiring modification to the second component. The first component may be implemented locally at a client device, while the second component is implemented remotely. While modification of the second component may require privileges of a remote location, a user of a client device may modify the first component while maintaining interoperability and compatibility with the second component, thereby enabling the end user to modify functionality of the multi-component application. In some instances, different versions of a first component are provided, and an end user of a client device is enabled to specify which version of the first component should be used.

Abstract: Systems and methods are disclosed for efficiently uploading event data of a data intake and processing system and building journey instances using the uploaded event data in a distributed manner. Each journey instance is illustratively associated with a series of events within the event data occurring over a journey duration. For example, a cloud-based hosting system can implement a cloud-based distributed system that receives fragmented uploads of event data from the data intake and query system. Once received, the cloud-based hosting system can combine the event data from one or more uploads and re-stitch portions of the uploaded event data using a set of worker nodes to build journey instances.

Abstract: Systems and methods are disclosed for efficiently storing information identifying journey instances within unstructured event data of a data intake and processing system. Each journey instance is illustratively associated with a series of events within the unstructured event data occurring over a journey duration. Because the unstructured event data may be constantly updated, any given inspection of the event data may yield both complete and incomplete instances. Storage of instance data over time can require updating of prior incomplete journey instances with complete versions of such instance detected at a later point in time. However, a data store of the unstructured event data may be unsuited for such updating, as the store may maintain version information for deleted data to reduce possibility of data loss. To address this issue, a separate structured data store, such as a columnar time series data store, is provided to efficiently store instance information.

Abstract: A computer system includes processor hardware configured to execute instructions that include joining at least a portion of multiple call transcription data entries with at least a portion of multiple agent call log data entries according to timestamps associated with the entries to generate a set of joined call data entries, and validating the joined call data entry by determining whether a transcribed entity name matches with entity identifier information associated with the agent call log data entry. The instructions include preprocessing the joined call data entry according to word confidence score data entries associated with the call transcription data entry to generate preprocessed text, performing natural language processing vectorization on the preprocessed text to generate an input vector, and supplying the input vector to an unsupervised machine learning model to assign an output topic classification of the model to the joined call data entry associated with the input vector.

Abstract: Systems and methods are disclosed for providing a multi-component application, including a first and second component. Functionality of the application may be easily and rapidly modified by modification to the first component, without requiring modification to the second component. The first component may be implemented locally at a client device, while the second component is implemented remotely. While modification of the second component may require privileges of a remote location, a user of a client device may modify the first component while maintaining interoperability and compatibility with the second component, thereby enabling the end user to modify functionality of the multi-component application. In some instances, different versions of a first component are provided, and an end user of a client device is enabled to specify which version of the first component should be used.

Abstract: Systems and methods are disclosed for efficiently storing information identifying journey instances within unstructured event data of a data intake and processing system. Each journey instance is illustratively associated with a series of events within the unstructured event data occurring over a journey duration. Because the unstructured event data may be constantly updated, any given inspection of the event data may yield both complete and incomplete instances. Storage of instance data over time can require updating of prior incomplete journey instances with complete versions of such instance detected at a later point in time. However, a data store of the unstructured event data may be unsuited for such updating, as the store may maintain version information for deleted data to reduce possibility of data loss. To address this issue, a separate structured data store, such as a columnar time series data store, is provided to efficiently store instance information.

Abstract: Systems and methods are disclosed for providing a multi-component application, including a first and second component. Functionality of the application may be modified by modification of the first component, potentially without requiring modification of the second component. However, some functionalities added to application may require modifications to both the first and second component. To maintain compatibility between components, the first component can be configured to detect versioning information of a second component, and adjust its functionality to disable functions unavailable due to lack of compatibility with a current version of the second component. The first component can notify an end user of any such lack of compatibility, and potentially instruct the end user in updating the second component.

Abstract: Systems and methods are disclosed for efficiently storing information identifying journey instances within unstructured event data of a data intake and processing system. Each journey instance is illustratively associated with a series of events within the unstructured event data occurring over a journey duration. Because the unstructured event data may be constantly updated, any given inspection of the event data may yield both complete and incomplete instances. Storage of instance data over time can require updating of prior incomplete journey instances with complete versions of such instance detected at a later point in time. However, a data store of the unstructured event data may be unsuited for such updating, as the store may maintain version information for deleted data to reduce possibility of data loss. To address this issue, a separate structured data store, such as a columnar time series data store, is provided to efficiently store instance information.

Abstract: Systems and methods are disclosed for providing a multi-component application, including a first and second component. Functionality of the application may be easily and rapidly modified by modification to the first component, without requiring modification to the second component. The first component may be implemented locally at a client device, while the second component is implemented remotely. While modification of the second component may require privileges of a remote location, a user of a client device may modify the first component while maintaining interoperability and compatibility with the second component, thereby enabling the end user to modify functionality of the multi-component application. In some instances, different versions of a first component are provided, and an end user of a client device is enabled to specify which version of the first component should be used.

Abstract: Systems and methods are disclosed for providing a multi-component application, including a first and second component. A client device may be provisioned with the application in a manner that, from the point of view of an end user, is similar to access a single component application. A user may use a client device to attempt to access a second component to provide the application. The second component can instruct the client device to first obtain a first component from a different network location. The client device can obtain the first component and execute the first component to use the second component, thereby providing the multi-component application. Other than submission of an initial request to access the application, provisioning of the multi-component application may be programmatic and potentially invisible to an end user, thereby providing an experience similar to accessing a single component application.