Abstract: Machine generated data entries are received. The machine generated data entries are clustered into a plurality of different clusters that each includes a different subset of the received machine generated data entries. For each of the plurality of different clusters, content of the corresponding subset of the received machine generated data entries belonging to the corresponding cluster of the plurality of different clusters is analyzed to determine a corresponding pattern of the corresponding cluster. A new machine generated data entry is received. The new machine generated data entry is matched to one of the determined patterns. The new machine generated data entry is assigned to one of the plurality of different clusters corresponding to the matched pattern.

Abstract: Content to be summarized is received and analyzed using an extractive summarizer to determine a reference extractive summary of the content. The content is further analyzed using a plurality of different abstractive summarizers to determine candidate abstractive summaries of the content. Each of the candidate abstractive summaries is compared with the reference extractive summary to determine corresponding evaluation metrics. Based at least in part on the evaluation metrics, one of the candidate abstractive summaries is selected as a selected summary to be provided.

Abstract: A computational instance may contain a plurality of vulnerable items and a plurality of change requests, wherein at least some of the vulnerable items are assigned to a vulnerability group, the vulnerable items represent hardware or software components that exhibit known vulnerabilities, and the change requests represent additions, removals, or modifications of the hardware or software components. The computational instance may further include one or more computing devices configured to: generate a representation of a first graphical user interface containing data related to the vulnerability group, generate a representation of a second graphical user interface that allows specification of change request options, generate a representation of a third graphical user interface with data entry fields for a corresponding change request that are auto-populated based on the data related to the vulnerability group, and add a corresponding change request to the plurality of change requests.

Abstract: Systems and method for improving query performance by querying an appropriate database engine based on the operation of the query request is provided. In one aspect, this approach involves querying a row-oriented database, querying a column-oriented database, or blacklisting the query request. In particular, updating the column-oriented database involves delete and insert operations. By maintaining updated databases and querying appropriate database engines, the response time of a query request may be improved.

Abstract: An embodiment may involve a server-side log collected by a server device, where the server-side log includes a set of entries indicating a unique identifier, and wherein the unique identifier is assigned to a work item of a server-based application executed by the server device. The embodiment may further involve one or more processors configured to: receive, from a client device disposed upon a network, a client-side log, wherein the client-side log includes operational data related to usage of a client-based application executed by the client device; identify, from the operational data, the client-based application and one or more activities performed by the client-based application; determine that the one or more activities are related to the unique identifier; based on the one or more activities, determine an action that can be taken to improve efficacy of the server-based application; and write, to the persistent storage, a representation of the action.

Abstract: A plurality of session signatures and a plurality of inference flags are stored in association with each other, each session signature representing a combination of flag values, each flag value signifying a key event. A plurality of session events are logged, each session event issuing from one of the remote client devices and having a corresponding session ID and associated data. The session events are grouped by their corresponding session IDs to create a plurality of session records, each session record including flag values for a plurality of key events. A session signature is identified for each session record from the stored session signatures based on the key event flag values of the session record, and a value of an inference flag associated with the identified session signature is obtained from a storage device. A predetermined operation is performed based on the obtained value of the inference flag.

Abstract: Disclosed herein are applications and platforms for streamlined production of charts and reports from databases containing time series datasets and/or timestamped data. The applications described herein may employ dynamically retrieve data from data centers to quickly provide options to the user. The platform further allows configuration of the charts and/or reports by providing lists of metrics that may be available in the selected data, and lists of transforms that may be applied to the data. The application may employ dynamic user interfaces, which provide processing of the received time series datasets in a data agnostic manner. As a result, the systems and methods described herein may allow generating charts and reports using a streamlined workflow.

Abstract: A modified configuration management database (CMDB) system is disclosed in which detected configuration item (CI) vulnerabilities are stored as less-resource-intensive detection objects, rather than as more-resource-intensive vulnerable item (VI) objects. The system includes a vulnerability response (VR) server that enables promotion rules to be created and periodically applied to the stored detections. When the conditions of a detection promotion rule are satisfied by information relating to a stored detection, a new VI may be created and related to the stored detection within the CMDB. The disclosed promotion rules can be configured to ensure that VIs are only automatically created for high-risk or relevant detections, substantially reducing the number of VIs to be created, stored, and managed. As such, the disclosed system substantially reduces resource consumption and improves the efficiency and operation of the CMDB.

Abstract: An interface of a separate module added to a web browser is overlaid over content of a window of the web browser. A new content item to be added to a repository of content items shared among a select group of users is received via the overlaid interface of the separate module. A search input is received via the overlaid interface of the separate module. One or more content items responsive to the search input within the repository of content items shared among the select group of users are identified. At least one of the identified content items responsive to the search input is provided via the overlaid interface of the separate module for use in the content of the window of the web browser.

Abstract: A computing system includes a server. The server is communicatively coupled to a data repository and is configured to store a data in the data repository. The server is further configured to create, via a visual information flow creation tool, at least one information flow object. The server is additionally configured to create, via the visual information flow creation tool, an electronic signature field in the at least one information flow object, and to provide the at least one information flow object to communicate an electronic signature request to an electronic signature system.

Abstract: Present embodiments are directed to a virtual agent with improved natural language understanding (NLU) capabilities. The disclosed virtual agent enables topic selection and topic changes during natural language exchanges with a user. The virtual agent is designed to select suitable topic flows to execute based on intents identified in received user utterances, including selection of an initial topic flow in response to a topic identified in a first user utterance, as well as switching between topic flows mid-conversation based on identified topic changes. The virtual agent is also capable of considering all intents and entities conveyed during the conversation, which enables the virtual agent to avoid prompting the user to provide redundant information. Furthermore, the virtual agent is capable of executing topic flows as part of a global topic flow, which enables the virtual agent to perform a number of predefined activities as part of each interaction with the user.

Abstract: In accordance with the present approach, a collaborative chat system is provided that enables collaborative communication between a user preferring a native chat platform and a different user who communicates using a non-native or third-party chat platform. The user may particularly select various other users to be added to a collaborative chat, regardless of which chat platform the other users have set as their main or preferred communication channel. Indeed, when displaying the various users available to be added to the collaborative chat, the collaborative chat system may display a visual indication or icon that indicates which chat platform the various users are available through. The collaborative chat system or platform may utilize bi-directional communications between the native chat platform and any communicatively coupled third-party chat platforms to link the user with the selected other users within a collaborative chat instance.

Abstract: A cloud-based platform may receive an indication of one or more event associated with a service provider and modify a configuration associated with providing a schedule of respective service appointments offered by the service provider based on the indication of the one or more events. The cloud-based platform may then receive a request for a new service appointment after modifying the configuration and in response to receiving the request for the new service appointment, determine a number of scheduled appointments associated with a first time window, determine whether the number of scheduled appointments is less than a maximum number of appointments associated with the first time window, and automatically schedule the new service appointment during the first time window in response to determining that the number of scheduled appointments is less than the maximum number of appointments associated with the first window.

Abstract: A system may include a server device configured to: receive selected factors and respective weights for each of the selected factors; obtain combinations of selected primary factors that total less than a maximum number of rows; determine a duplication count for the combinations of selected primary factors; and generate, for display on a graphical user interface, data representing a table, where each column of the table represents one of the selected factors, where for columns of the table representing selected primary factors, rows represent each of the combinations of selected primary factors duplicated according to the duplication count, where for columns of the table representing selected secondary factors from the selected factors, rows represent repeated iteration through possible values of the selected secondary factors, and where each row includes a respective risk score based on a weighted average of the respective weights applied to the selected factors represented therein.

Abstract: The present disclosure relates to a timeline visualization to enable users to more quickly find information and limit the amount of displayed information associated with one or more records. The timeline visualization displays events associated with a record as areas that are positioned along the timeline visualization. In some embodiments, the events displayed on the timeline visualization may be selected based on properties of the events and timeline parameters, such as dimensions of the timeline visualization and the areas to be displayed using the timeline visualization.

Abstract: A natural language query to domain-specific language query (NLQ-to-DSLQ) translation system includes a language model and a domain-specific language (DSL) parser that constrains the output of the language model to a DSL, such as structured query language (SQL). At each decoding step, the language model generates a predicted next token for each of a set of potential translations of a NLQ. The DSL parser evaluates each of the potential translations at each decoding step based on a set of stored DSL rules, which define valid terminology, syntax, grammar, and/or other constraints of the DSL. The DSL parser may reject and remove from consideration partial potential translations that are invalid or receive a low parsing score, such that the language model only continues to generate new tokens at the next decoding step for partial potential translations that are determined to be valid and/or sufficiently high scoring.

Abstract: A system may include: a database table, a grammar containing metadata-referencing non-terminals, and metadata mapping the metadata-referencing non-terminals into alternative terms for the table and a column therein.

Abstract: A certificate credential and an associated signature is received. The certificate credential and the associated signature are authenticated at an operating system level. Whether the certificate credential has expired is validated at an application level via an external certificate authority. Access to encrypted data is allowed based at least in part on the authentication and the validation of the certificate credential.

Abstract: Persistent storage may be arranged to store sets of configuration data respectively corresponding to applications. One or more processors of a computational instance may be configured to: receive, from a data source, a set of configuration data corresponding to an application deployable on a network related to the computational instance, wherein the set of configuration data defines components, packages, and environments, wherein the packages include one or more of the components, and wherein the environments include one or more of the packages; write, to the persistent storage, a representation of the set of configuration data; look up one or more policies applicable to the set of configuration data; and validate, by a policy engine, the set of configuration data by applying the one or more policies to the set of configuration data.

Abstract: A specification of one or more query response modules from a third-party entity different from an entity providing a search service is received. A search query from a user is received. The search query is processed at least in part with the search service to determine whether any of the one or more query response modules are applicable to the search query. In response to a determination that at least one of the one or more query response modules is applicable to the search query, one of the query response modules is selected for the search query. The selected query response module is executed to determine a module answer content. The search query is processed to identify links to content responsive to the search query. A response to the search query is provided including by embedding the module answer content in a user interface providing at least a portion of the identified links.