Abstract: Systems and methods for network-based cloud service platform integrations with dealer management systems (DMS) are disclosed herein. A cloud service platform may integrate over the network with an instance of a DMS used by an end user. The cloud service platform may define fields that can be used in conjunction with forms useable with the DMS, and may be further capable of storing field data for those fields. The cloud service platform may provide a graphical user interface (GUI) prompt to a user of the DMS to provide the field data. A form using the fields defined at the cloud service platform may be provided to the cloud service platform and filled at the cloud service platform using field data for those fields stored at the cloud service platform. The form may then be provided to a print service for presentation to the user.

Abstract: A method for transforming structured query language queries to expedite query execution includes detecting an explode operator in a structured query language query plan that is designed to execute a structured query language query against a database, identifying a query fragment within the structured query language query plan that starts with the explode operator and ends with a second operator, and replacing the query fragment in the structured query language query plan with an optimized query fragment in which the second operator operates directly on vectors that are a target of the second operator.

Abstract: Systems and methods for implementing chat-based querying of multiple data sources using a multi-agent infrastructure are provided. In an example method, a computing system receives, from a client device, a query. The computing system determines, using an orchestrator agent, one or more relevant contexts based on the query. The computing system receives, from a storage system, context information based on the one or more relevant contexts. The computing system generates a modified query based on the query and the context information. The computing system outputs, to the orchestrator agent, the modified query and the context information. The computing system receives, from the orchestrator agent, a response to the modified query. The computing system outputs the response to the client device.

Abstract: Generating queries in a heterogeneous cloud computing environment is provided. The method comprises transforming disparate statistical formats into a unified representation to standardize statistical metadata between relational databases and NoSQL databases. SQL-derived NoSQL statistics are integrated into a unified repository according to the unified representation. Mapped NoSQL statistics are integrated into relational database query optimizers. An optimal predicate pushdown strategy and an execution plan for a query across heterogeneous databases are determined according to the standardized statistical metadata. The query to the heterogeneous databases is then executed according to the relational database query optimizers and the optimal pushdown strategy and execution plan.

Abstract: A method (502; 514; 530) is provided for managing, under the control of a computing system, a plurality of ledgers (Lk).

Abstract: Systems and methods for non-blocking synchronization of secure customer data of an enterprise data storage. A first local data storage is established that can be used offline that includes a subset of secure customer data from the enterprise data storage. A second local data storage is established that includes the subset of secure customer data from the enterprise data storage. A data object record in the second local data storage is modified, and creates an associated entry in a tracking table, wherein entries in the tracking table maintain data object record modifications in the second local data storage. The first local data storage is cloned to create a third local data storage. Each entry in the tracking table is executed to modify the third local data storage. The first local data storage is deleted and the modified third local data storage replaces the deleted first local data storage.

Abstract: Computer implemented methods, systems, and computer program products include program code executing on a processor(s) extract formerly missing KVP from fields in a document. The program code utilizes an extractor to monitor KVP data in a document. Based on the monitoring, the program code determines that accuracy of a field in the document, is below a pre-defined threshold. The program code dynamically generates a new extractor comprising a KVP extractor to target the field in the document.

Abstract: Techniques for enforcing policy at a collection level are disclosed. A service receives, from a requesting entity, a set of search parameters to query a database of information. The service sends the search parameters to an authorization service, which is tasked with enforcing a collection level policy for the requesting entity by generating a set of local conditions that are injectable into a query submitted to the database. The service receives, from the authorization service, the set of local conditions. The service generates the query using a combination of the search parameters and the local conditions. The service facilitates execution of the query against the database. The service returns results of the executed query to the requesting entity. The results are organized using pages.

Abstract: Techniques are disclosed relating to managing database queries. In some embodiments, a server system receives a query from a computer system and determines a set of aspects for the query, including at least a number of columns specified in the query and a computational cost of executing the query. The system generates a query vector based on the set of aspects determined for the query. The system then compares the query vector with a plurality of clusters, ones of the plurality of clusters comprising two or more previously generates query vectors generated based on aspects of queries previously received by the server system. Based on the comparing, specifically a distance between the query vector and the plurality of clusters of previously generated query vectors, the system classifies the query. Based on a classification of the query determined during the classifying, the system manages the query.

Abstract: An integrated architecture searching system for a click-through rate prediction model is provided. The system includes a first search space configured to search for embedding vector dimensions of features and determine a matching embedding vector dimension for each pair of the features; a second search space configured to obtain a feature interaction result by searching for a feature interaction sub-network and a feature interaction combination; and a third search space configured to obtain a click-through rate prediction value by incorporating the feature interaction result into an high-order implicit feature interaction search space and performing high-order implicit feature interaction on deep networks of different layers.

Abstract: A method for bi-directional mapping includes storing a relationship between a first service specification and a second service specification; receiving an application programming interface (API) call for the second service specification that includes a payload that includes a relationship type; verifying the relationship type included in the payload corresponds to a relationship type of the relationship between the first service specification and the second service specification; in response to the relationship type included in the payload corresponding to the relationship type of the relationship between the first service specification and the second service specification, verifying whether a complimentary relationship exists between the first service specification and the second service specification; and in response to the complimentary relationship existing between the first service specification and the second service specification; updating the first service specification with dependent service details

Abstract: A computer implemented method for determining a representative input data set for post-training quantization of artificial neural networks comprises: acquiring an input data set; processing the input data set to extract one or more parameters associated with the input data set; setting clipping limits comprising a lower clipping limit and an upper clipping limit; adapting the upper and lower clipping limits by computing (656) a quantization error based on a numerical difference between the input data set and a quantized and a dequantized input data set, wherein the error is computed based on an error metric which is based on user input; and determining a representative input data set as a subset of the input data set whose elements fit within the clipping limits; wherein the representative input data set is to be used for quantization calibration of the post-training quantization.

Abstract: Disclosed are systems and methods for community-based multi-sensor fused data processing to determine natural hazard risk. In one embodiment, a system comprises one or more memory units storing instructions and one or more processors configured to execute the instructions to receive localized data from a distributed multi-sensor network, the distributed multi-sensor network including a plurality of sensor devices associated with a community, receive property data, community infrastructure data and environmental data from at least one external repository, generate combined data using data fusion, the combined data being based on the localized data from the distributed multi-sensor network and at least one of the property data, community infrastructure data or the environmental data, determine a community risk score for a natural hazard by implementing a machine learning method on the combined data, and perform a mitigating action based on the community risk score.

Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for facilitating data transformations, according to embodiments of the present invention. In one embodiment, a set of example values are received. A repository of transformation tools is searched to identify a new transformation tool as relevant to a data transformation associated with the received set of example values. The repository includes annotations associated with the new transformation tool. The new transformation tool is used to generate a transformation program that produces transformed output values. Additional annotations are generated for the new transformation tool based on the transformed output values.

Abstract: Described herein is a custom filtering computer system for enabling custom filtering and management of tabular data that does not require any computer language or similar training for the user. The custom filtering computer system includes a processor configured to: receive filter criteria from a user computer device; retrieve filtered data by querying one or more databases based on the filter criteria; receive operations criteria from the user computer device; generate processed data, the processed data comprising the filtered data and operation outputs, by performing the operations defined in the operations criteria and storing the operation outputs with the filtered data; receive display criteria from a user computer device; generate a data display by applying the display criteria to the processed data, wherein the data display includes the processed data and the at least one display element; and display the data display.

Abstract: The system and method provide for automatically extracting latent structures and relationships in datasets of any size, to enable effective management of that data. The system and method produce hierarchies of fields with relationships of a particular type and strength. The hierarchies of fields with relationships of a particular type and strength can be used to optimize the data storage profile of a company by separating large datasets into multiple smaller datasets, reducing operational costs, perform enhanced analysis of the data through a greater understanding of its internal logical structure, reduce privacy risk within the dataset by removing risky fields and substituting them in analytical processing with less risky fields that carry a similar amount of statistical information, to identify inference risks in the data to enable more effective data protection decision-making, and can be used to separate out wide datasets into multiple narrower/smaller datasets, thus aiding more efficient analytics.

Abstract: A method for query optimization may include capturing a proposed database query input into a user interface. The method may further include providing the proposed database query to a machine-learning model. The machine-learning model may have been trained, using one or more gathered and/or simulated sets of query execution overhead data and one or more gathered and/or simulated sets of database queries, to determine a potential execution overhead of a database query and output a query execution score. The method may further include outputting, by the machine-learning model, the query execution score based on the proposed database query. The method may further include determining that the query execution score exceeds a query execution score threshold. The method may further include triggering a corrective action based on the query execution score exceeding the query execution score threshold.

Abstract: Migration of information, comprising inode numbers, from source filesystem to destination filesystem can be performed and managed. Migrator component can partition inode subspace of destination filesystem into first inode subspace region, comprising first subgroup of inode slices, and second inode subspace region, comprising second subgroup of inode slices. Provisioner manager component can provision first inode slices of the first subgroup in a first order. Inode numbers associated with user files or directories contained in source slices of the source filesystem can be migrated to and allocated for corresponding first inode slices of the destination filesystem. Provisioner manager component can provision second inode slices of the second subgroup in a second order that can be different from the first order. Inodes associated with inode numbers associated with internal files or directories can be stored in the second inode slices. Source filesystem can be active during the migration process.

Abstract: An apparatus for use in a communication system sets, in a search request serving to retrieve, from a storage entity, records that match filters, an indication which indicates if, for one or more matching records of the records that match the filters, a content of the one or more matching records is to be received in a response to the search request along with references to the records that match the filters, and transmits the search request including the indication.

Abstract: An information processing apparatus including a processor, wherein the processor is configured to: search for a plurality of comment-on-findings candidates related to a search query from a comment-on-findings group including a plurality of comments on findings; and present, based on a predetermined importance for each combination of two pieces of element information associated with each of the plurality of comment-on-findings candidates, at least one piece of the element information.