Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for indexing actions for resources. In an aspect, a method receiving, for each resource a plurality of resources that are each accessible by a user device, action data describing actions supported by each resource, each action being an action that can be performed by the user device processing the resource; for each resource: determining, from the action data, an action type for each action supported by the resource, determining, from the action data, action parameters for each action supported by the resource, and indexing the action data, action types and action parameters for the resource in an index that is searchable by a search engine.

Abstract: A method may include scraping published internet data from one or more data sources based on or more environmental parameters, one or more social parameters, or one or more governance parameters. The method may also include receiving user data from an account database, a user device, or both; identifying correlations between the user data and the published internet data; wherein the correlations are associated with environmental parameters, social parameters, or governance parameters. The method may also include generating a dynamic interest report based on the correlations, wherein the dynamic interest report comprises recommendations of one or more events, one or more content items, or both associated with environmental, social, and governance (ESG) compliance. The method may then involve sending the dynamic interest report to the user device.

Abstract: Apparatuses and methods concerning providing data-communications room recommendations are disclosed. As an example, one apparatus includes a data-communications server. The data-communications server is configured to provide user-data-communications sessions. The server is also configured to retrieve data-communications messages, which may arise from a plurality of disparate interconnected data-communications systems, and batch the data communications messages for a particular data-communications room together to create a room document. Responding to receipt of a request from a particular user, the server identifies a particular data-communications room for a particular inquiry.

Abstract: A plurality of events is extracted from a set of sources, including an event representing a transfer of a first data set from one data storage stage of a data pipeline to another stage to form a second data set, and another event representing a completion of a computation performed on the second data set. Based on analysis of the plurality of events, a graph is stored; the nodes of the graph represent data sets at respective stages of the data pipeline, and edges represent the events. In response to a request for lineage information pertaining to a particular data set at a particular stage of the pipeline, an indication of a sequence of events represented in the graph is provided, including a particular event which led to the presence of the particular data set at the particular stage.

Abstract: Embodiments automate the timely remediation of issues by matching failed operations to a script that is configured to fix the problem or problems without causing additional side effects, thus minimizing unavailability of services and loss of data. A method detects a backup operation alert message sent from a data manager or storage system that encodes one or more attributes affected by the backup operation, wherein the attributes are weighted to reflect a percentage importance of the a corresponding script to fix the problem. A script library is scanned to identify scripts that match the alert message. A component generates a score for each script, where the score factors the relevance of the script to the backup operation based on the weighted attributes, and executes the script with the highest score, as the script most likely to fix the issue causing the alert message.

Abstract: Systems and methods are described for a three-tiered artificial intelligence architecture that synchronizes processing statement deployment across diverse computer networks. The system may receive, at a user interface, a first request for a first recommendation. The first recommendation includes a set of standardized processing statements for implementing on a function. The system may input the first request into a first network component. The first network component includes first, second, and third models. The first model is trained to generate a library of standardized processing statements. The second model is trained to generate a plurality of standardized processing characteristic values for each standardized processing statement in the library. The third model is trained to generate recommendations of sets of standardized processing statements to functions. The system receives an output from the first network component and generates for display the first recommendation based on the output.

Abstract: A server apparatus which includes a memory that stores recipe information including a plurality of cooking processes, and circuitry that acquires the recipe information, specifies, in the acquired recipe information, a cooking process described with a qualitative expression, searches the recipe information stored in the memory for the qualitative expression described in the specified cooking process, converts the qualitative expression described in the specified cooking process into a quantitative expression based on a result of the search, and sends, to a user terminal via the internet, quantitative recipe information including the quantitative expression which corresponds to the acquired recipe information, for controlling a cooking appliance based on the quantitative recipe information.

Abstract: A method is provided. The method is executed by a dependency identification engine implemented as a computer program within a computing environment. The method includes generating a data structure that represents a recorded process by the dependency identification engine from data. The method includes identifying activities of the data structure, determining connectivity between the activities, and determining, based on the connectivity, eligible activity pairs from the activates by the dependency identification engine. The method includes extending, based on the data, the data structure with annotations that represent long-term dependencies between the activities and generating a visualization of the data structure with the annotations by the dependency identification engine.

Abstract: Embodiments help timely remediation of issues in a data protection system by automatically evaluating scripts configured to address the issues. The system has a bounded list of possible attributes that are deemed important by system administrators. Each attribute is assigned a System Impact Score (SIS) along a defined scale. A self-healing processing component monitors the state of each attribute over time. The scripts are evaluated through repeated execution and use of the attribute monitoring to determine which attributes are affected by a script. Weights are assigned to each attribute affected by a script to aid in the selection of scripts most likely to remediate an actionable issue. Regularly performing script evaluation and attribute weighting allows for updating of scripts with an accurate list of attributes to overcome problems associated with manual updates.

Abstract: A method comprises creating metadata identifying columns of tables and column operations of one or more data transforms of the columns in a data pipeline and including links to code segments in human-readable form corresponding to the one or more data transforms; executing a build job that effects the one or more data transforms on one or more datasets to generate one or more derived datasets; causing, after the executing, a presentation of a graphical user interface (GUI) including a graphical representation of the one or more data transforms based on the metadata, wherein the method is performed by one or more processors.

Abstract: The interface is to receive an indication to execute an optimize command. The processor is to receive a file name; determine whether adding a file of the file name to a current bin causes the current bin to exceed a threshold; associate the file with the current bin in response to determining that adding the file does not cause the current bin to exceed the bin threshold; in response to determining that adding the file to the current bin causes the current bin to exceed the bin threshold: associate the file with a next bin, indicate that the current bin is closed, and add the current bin to a batch of bins; determine whether a measure of the batch of bins exceeds a batch threshold; and in response to determining that the measure exceeds the batch threshold, provide the batch of bins for processing.

Abstract: Transformation of source data from a source field of a source table to a target field of a target table using data transformation archetypes. A set of data transformation archetypes may be defined that each comprises transformation code for transforming the source data. A data transformation archetype may be identified by a data transformation toolkit engine for application to the source data based on the target field of the target table. In this way, a characteristic or relationship of the target field (e.g., as described by a target schema and/or target semantic) may be used to identify the data transformation archetype for use in transforming source data mapped to the target field. Accordingly, a more efficient and less error-prone Export, Transform, and Load (ETL) tool may be provided that provides automation of the transformation without requiring a user to dictate the transformation operations manually.

Abstract: The present disclosure relates to linking electronic activities between systems of record based on a comparison of electronic activity signals and system of record signals. Indexed files can be generated for each of a plurality of record objects of a system of record. An electronic activity may be accessed. A search query may be generated. Match scores for the record objects may be generated. An association between an electronic activity and a record object may be stored. Instructions to link to the electronic activity to the record object may be transmitted.

Abstract: Embodiments include a search and match computing system configured to: access, from a third party computing system, a query regarding at least one entity; determine if the query is a structured query or an unstructured query; process the query with at least one of an application programming interface configured to receive structured queries or a second application programming interface receive unstructured queries; initiate a search and match application configured to execute queries on at least one of: a relational data scheme or a non-relational data scheme; receive search results from the at least one of: the relational data scheme or the non-relational data scheme; and process the received search results to generate an output data packet for access by the third party computing system.

Abstract: A computer implemented method of reducing data elements in a data file includes: receiving a data file including one or more primary data elements; storing the data file in a memory coupled to the processor; generating, from at least one of the one or more primary data elements, a plurality of supplemental data elements; determining whether any of the plurality of supplemental data elements and any of the primary data elements offset each other; and upon determining that at least one of the plurality of supplemental data elements and at least one of the primary data elements offset each other, deleting, from the data file, at least one of the offset supplemental data elements or primary data elements.

Abstract: Provided is a ranking determination system including at least one processor configured to: acquire a plurality of second classifications relating to second data based on a first model which has learned a relationship between first data and a first classification relating to the first data; acquire, for each of the second classifications, a second score relating to a validity of a combination of the second data and the second classification based on a second model which has learned a validity of a combination of third data and a third classification relating to the third data; and determine a second ranking for each of the plurality of second classifications based on the second score of each second classification.

Abstract: A computerized system and method of compressing symbolic information organized into a plurality of documents, each document having a plurality of symbols, the system and method including: (i) automatically identifying a plurality of sequential (also referred to as adjacent) and/or non-sequential symbol (also referred to as non-adjacent) pairs in an input document; (ii) counting the number of appearances of each unique symbol pair; and (iii) producing a compressed document that includes a replacement symbol at each position associated with one of the plurality of symbol pairs, at least one of which corresponds to a non-sequential symbol pair. For each non-sequential pair the compressed document includes corresponding indicia indicating a distance between locations of the non-sequential symbols of the pair in the input document.

Abstract: A method includes a host computing device receiving a segment group of data. The method further includes the host computing device evaluating availability status of other computing devices in the storage cluster of computing devices. When one of the other computing devices is unavailable, the method further includes the host computing device dividing the segment group of data into a plurality of lines of data blocks. For a line of the data blocks, the method further includes the host computing device generating at least one parity block. The method further includes the host computing device sending a first data segment that includes first positioned data blocks to a first available computing device. The method further includes the host computing device sending a second data segment that includes second positioned data blocks to a second available computing device. The method further includes the host computing device storing a parity segment.

Abstract: Techniques and solutions are described for compressing data and facilitating access to compressed data. Compression can be applied to proper data subsets of a data set, such as to columns of a table. Using various methods, the proper data subsets can be evaluated to be included in a group of proper data subsets to be compressed using a first compression technique, where unselected proper data subsets are not compressed using the first compression technique. Data in the data set can be reordered based on a reordering sequence for the proper data subsets. Reordering data in the data set can improve compression when at least a portion of the proper data subsets are compressed. A data structure is provided that facilitates accessing specified data stored in a compressed format.

Abstract: Systems and methods are disclosed herein for a recommendations engine that generates content recommendations using a trained model that is personalized based on the information corresponding to content consumption. The disclosed techniques herein provide a trained model to provide content recommendations. The trained model may have been trained using a predefined set of training data agnostic of a particular user profile. A system receives information corresponding to content consumption. The system may associate the information corresponding to content consumption with a profile. The system generates a personalized model based on the information corresponding to content consumption and on the trained model. The personalized model may be associated with the user profile. The system generates the content recommendations using the personalized model. The system then causes to be provided the content recommendations.