Abstract: An Artificial Intelligence (AI) based document digitization, transformation and validation system extracts fields from digital documents via different document digitization processes. A document packet with a plurality of documents is initially accessed and any non-digital documents in the document packet are digitized. The errors in the digitized documents are corrected and non-English documents are translated into English. Each of the documents is provided to a plurality of digitization services for the extraction of fields by a plurality of field extraction models. If a field has multiple field instances extracted by more than one digitization service, then a field instance with the highest confidence score is selected for inclusion into the consolidated results. The consolidated results produced in different JavaScript Object Notation (JSON) formats are converted into a common JSON format which may be further validated and provided to downstream processes.

Abstract: The validity of engineering drawings is automatically determined based on compliance of the specifications of the engineering drawings with automatically generated rules. A document package including images of the engineering drawings and related documents is received. Rules codifying the requirements to be fulfilled by the engineering drawings are automatically generated from the related documents. Data such as specifications of the various parts of the entities in the engineering drawings are automatically extracted. The extracted data is analyzed to determine compliance with the rules to validate the engineering drawings.

Abstract: An Artificial Intelligence (AI) based document digitization, transformation and validation system extracts fields from digital documents via different document digitization processes. A document packet with a plurality of documents is initially accessed and any non-digital documents in the document packet are digitized. The errors in the digitized documents are corrected and non-English documents are translated into English. Each of the documents is provided to a plurality of digitization services for the extraction of fields by a plurality of field extraction models. If a field has multiple field instances extracted by more than one digitization service, then a field instance with the highest confidence score is selected for inclusion into the consolidated results. The consolidated results produced in different JavaScript Object Notation (JSON) formats are converted into a common JSON format which may be further validated and provided to downstream processes.

Abstract: The validity of engineering drawings is automatically determined based on compliance of the specifications of the engineering drawings with automatically generated rules. A document package including images of the engineering drawings and related documents is received. Rules codifying the requirements to be fulfilled by the engineering drawings are automatically generated from the related documents. Data such as specifications of the various parts of the entities in the engineering drawings are automatically extracted. The extracted data is analyzed to determine compliance with the rules to validate the engineering drawings.

Abstract: A system for providing automated and domain specific contextual processing for context based verification may classify a plurality of extracted parameters from a set of digitized training document to assign a document similarity score with respect to a set of reference documents. The system may automatically detect a domain for the set of digitized training documents based on the document similarity score. The system may load a domain based neural model for the detected domain to generate a plurality of pre-defined contextual parameters. The system may receive a set of input documents and perform a contextual processing of the received set of documents based on the pre-defined contextual parameters to obtain an output in form of a plurality of filtered snippets, each bearing a corresponding rank. The context based verification may be performed based on the plurality of filtered snippets and the corresponding rank.

Abstract: The present disclosure relates to the field of a system that maps employees' sentiments, and envisages a system for mapping employees' sentiments comprising a database, an input unit, a parser, a filter unit, a lexical analyse), an identifier, a mapping unit, an aggregator, a sentiments analyser, and a computation unit. The employee inputs are received through the input unit. The parser parses the inputs and generates tokens that are filtered based on the filter unit. Keywords are extracted from pre-determined list of keywords based on filtered words which are mapped with pre-determined group of themes and quantitative score based on the weightage score is computed by pre-determined weightage scores. The sentiments analyser analyses employee sentiments, based on quantitative score and computation unit computes a relationship between employee sentiments, employee feedback and employee performance.

Abstract: The present disclosure relates to the field of a system that maps employees' sentiments, and envisages a system for mapping employees' sentiments comprising a database, an input unit, a parser, a filter unit, a lexical analyse), an identifier, a mapping unit, an aggregator, a sentiments analyser, and a computation unit. The employee inputs are received through the input unit. The parser parses the inputs and generates tokens that are filtered based on the filter unit. Keywords are extracted from pre-determined list of keywords based on filtered words which are mapped with pre-determined group of themes and quantitative score based on the weightage score is computed by pre-determined weightage scores. The sentiments analyser analyses employee sentiments, based on quantitative score and computation unit computes a relationship between employee sentiments, employee feedback and employee performance.

Abstract: A computer-implemented method, computer program product, and computing system for implementing multi-temporal tables in a database is described. One or more databases are utilized, wherein the one or more databases implement a first temporal table that includes a first and a second time domain. The one or more databases are enabled to implement a second temporal table that includes at least a third time domain, wherein the second temporal table is associated with the first temporal table.

Abstract: Methods and arrangements for accommodating and synthesizing data for seeking broad-based solutions to complex problems. Logical models with respect to infrastructure in a first location are created. System-level models are created with respect to the logical models, and simulations are performed on the system-level models to verify expected behavior. Feedback is employed from the performed simulations to forecast changes in the system-level models.

Abstract: Methods and arrangements for accommodating a query, directing the query to datasets, creating partitions and partitioning the datasets, and returning a response to the query, the response being structured in accordance with the created partitions.

Abstract: In the context of cloud computing, effective methods and arrangements for storing and tracking provenance. In accordance with at least one embodiment, a distributed file system is advantageously employed to store large amounts of provenance data. File creation involves the creation both of output files and reduce logs.

Abstract: Techniques for identifying one or more inconsistencies between an unstructured document and a back-end fact-base are provided. The techniques include automatically parsing a query document and comparing the document with a back-end fact-base comprising facts relevant to the document, identifying one or more inconsistencies between information mentioned in the document and the facts stored in the back-end fact-base, and providing a response to the query document, wherein the response additionally includes the one or more identified inconsistencies.

Abstract: A computer-implemented method, computer program product, and computing system for implementing multi-temporal tables in a database is described. One or more databases are utilized, wherein the one or more databases implement a first temporal table that includes a first and a second time domain. The one or more databases are enabled to implement a second temporal table that includes at least a third time domain, wherein the second temporal table is associated with the first temporal table.

Abstract: Systems and methods for dynamic product bundling are described herein. For example, embodiments dynamically generate product bundle for customer within a particular segment in view of that customer's interest in a particular product. Embodiments determine customer affinity, customer commonality, and product complementarity and use this information to dynamically generate and optimize product bundles for customers interested in one or more products.

Abstract: Methods and arrangements for accommodating and synthesizing data for seeking broad-based solutions to complex problems. Logical models with respect to infrastructure in a first location are created. System-level models are created with respect to the logical models, and simulations are performed on the system-level models to verify expected behavior. Feedback is employed from the performed simulations to forecast changes in the system-level models.

Abstract: Systems and methods for dynamic product bundling are described herein. For example, embodiments dynamically generate product bundle for customer within a particular segment in view of that customer's interest in a particular product. Embodiments determine customer affinity, customer commonality, and product complementarity and use this information to dynamically generate and optimize product bundles for customers interested in one or more products.

Abstract: Methods and arrangements for accommodating a query, directing the query to datasets, creating partitions and partitioning the datasets, and returning a response to the query, the response being structured in accordance with the created partitions.

Abstract: In the context of cloud computing, effective methods and arrangements for storing and tracking provenance. In accordance with at least one embodiment, a distributed file system is advantageously employed to store large amounts of provenance data. File creation involves the creation both of output files and reduce logs.

Abstract: Methods, systems and computer products perform cost estimate to determine an efficient approach to answer a query according to one of several unified query plans. One unified query plan involves querying an unstructured database, referencing a unified index, and probing a structured database based on matches discovered in the unified index. The results of the unstructured database query are used to lookup entries in a unified index associated with the structured database. Then the structured database is probed by querying only the subset of the structured database gleaned from the unstructured database query.

Abstract: Methods, systems and computer products perform cost estimate to determine an efficient approach to answer a query according to one of several unified query plans. One unified query plan involves querying an unstructured database, referencing a unified index, and probing a structured database based on matches discovered in the unified index. The results of the unstructured database query are used to lookup entries in a unified index associated with the structured database. Then the structured database is probed by querying only the subset of the structured database gleaned from the unstructured database query.