Abstract: The present disclosure includes a system, method, and article of manufacture for generating an entity graph. The method may comprise determining a relationship between a first entity and a second entity based upon internal data, external data, and/or online data associated with the first entity, and generating the entity graph comprising at least two nodes and an edge connecting the at least two nodes. The method may further comprise, in various embodiments, tailoring marketing to the first entity based upon the entity graph, detecting fraud against the first entity based upon the entity graph, periodically updating the entity graph based upon new internal data and new online data, and/or adjusting the edge based upon a change in the relationship between the first entity and the second entity.

Abstract: A system for generating risk assessments based on a data representing a plurality of statements and data representing corroborating evidence is provided. The system receives data representing a plurality of statements and data representing corroborating evidence. The system applies one or more integrity analysis models to the first data and the second data in order to generate an assessment of a risk that one or more of the plurality of statements represents a material misstatement. A system for generating an assessment of faithfulness of data is provided. The system compared data representing a statement to data representing corroborating evidence, and generates a similarity metric representing their similarity. Based on the similarity metric, the system generates an output representing an assessment of faithfulness of the first data set.

Abstract: Systems and methods for automated document processing for use in AI-augmented auditing platforms are provided. A system for determining the composition of document bundles extracts substantive content information and metadata information from a document bundle and generates, based on the extracted information regarding a composition of the document bundle. A system for validating signatures in documents extracts data representing a spatial location for respective signatures and generates a confidence level for respective signatures, and determines, based on location and confidence level, whether signature criteria are met. A system for extracting information from documents applies a set of data conversion processing steps to a plurality received documents to generate structured data, and then applies a set of knowledge-based modeling processing steps to the structured data to generating output data extracted from the plurality of electronic documents.

Abstract: Systems and methods for adjudicating AI-augmented automated analysis of documents in order to quickly and efficiently make various adjudications based on the documents are provided, including adjudications as to whether the documents represent underlying data that meets one or more predefined or dynamically-determined criteria. Criteria for adjudication may include commercial-substance criteria, related-party-transaction criteria, and/or collectability criteria. A system may receive a plurality of documents and generate a plurality of feature vectors by applying natural language processing techniques. The system may apply one or more classification models to the plurality of feature vectors to generate output data classifying each of the feature vectors. The system may identify, for each feature vector, a subset of closest matching prior feature vectors.

Abstract: Systems and methods for providing explainability for processing data through multiple layers are provided. An input layer is configured to receive an evidence data set comprising a plurality of evidence items, apply evidence processing models to the evidence data set to generate evidence understanding data, and generate input-layer explainability data, wherein the input-layer explainability data represents information about the processing of the evidence data set by the input layer. A presentation layer is configured to receive data (the evidence understanding data and/or data generated based on the evidence understanding data), apply one or more presentation generation models to the received data to generate presentation data, and generate presentation-layer explainability data for presentation to the user, wherein the presentation-layer explainability data represents information about the processing of the received data set by the presentation layer.

Abstract: Systems and methods for determining whether an electronic document constitutes vouching evidence is provided. The system may receive ERP item data and generate hypothesis data based thereon, and may receive electronic document data and extract ERP information therefrom. The system may then apply one or more models to compare the hypothesis data to the extracted ERP information to determine whether the electronic document constitutes vouching evidence for the ERP item. Systems and methods for verifying an assertion against a source document are provided. The system may receive first data indicating an unverified assertion and second data comprising a plurality of source documents. The system may apply one or more extraction models to extract a set of key data from the plurality of source documents and may apply one or more matching models to compare the first data to the set of key data to determine whether vouching criteria are met.

Abstract: A web-based platform application for managing rules of a programming object is described. The platform application receives, from a client device, a definition of a product via a web page of a product configuration platform. The definition identifying attributes of the product. The platform application provides a rule configuration template in the web page of the product. The platform application receives entries in the rule configuration template. The entries indicate values for corresponding rule attributes of the rule configuration template. The platform application forms a product rule configuration based on the entries in the rule configuration template, and generates the programming object based on the definition of the product and the product rule configuration.

Abstract: A system and method for data entries deduplication are provided. The method includes indexing an input data set, wherein the input data set is in a tabular formant and the indexing includes providing a unique Row identifier (RowID), wherein rows are the data entries; computing attribute similarity for each column across each pair of rows; computing, for each pair of rows, row-to-row similarity as a weighted sum of attribute similarities; clustering pairs of rows based on their row-to-row similarities; and providing an output data set including at least the clustered pairs of rows.

Abstract: A system and computer implemented method for cataloging database metadata using a signature matching process are provided. The method includes receiving an input name to be matched to a key in a seed table; generating a first fingerprint by decomposing the received input name into a first set n-grams; generating, based on the received input name, a second fingerprint using a predetermined pronunciation schema, wherein the second fingerprint is a phonetic fingerprint; generating a third fingerprint by decomposing the second fingerprint into a second set of n-grams; identifying a matching key by matching any combination of the first fingerprint, the second fingerprint, and the third fingerprint against keys in the seed table; and cataloging the metadata with the matching key as a tag.

Abstract: A method and system for tagging database columns are presented. The method includes receiving an input column name of at least one column in a database; performing signature matching of the input column name to contents of a seed table; determining a first confidence score for the signature matching; and tagging a matching value in the seed table as a tag for the input column name, when a first confidence score exceeds a first threshold value.

Abstract: A system and computer implemented method for cataloging database metadata using a probabilistic signature matching process are provided. The method includes receiving an input name to be matched to keys in a data corpus; dividing the received input name into a plurality of text segments; identifying a set of matching keys by matching each of the plurality text segments against keys in the data corpus; analyzing the set of matching keys to construct a tag; and cataloging the metadata with the matching key as the construct tag.

Abstract: A system and method for data entries deduplication are provided. The method includes indexing an input data set, wherein the input data set is in a tabular formant and the indexing includes providing a unique Row identifier (RowID), wherein rows are the data entries; computing attribute similarity for each column across each pair of rows; computing, for each pair of rows, row-to-row similarity as a weighted sum of attribute similarities; clustering pairs of rows based on their row-to-row similarities; and providing an output data set including at least the clustered pairs of rows.

Abstract: A system and computer implemented method for cataloging database metadata using a signature matching process are provided. The method includes receiving an input name to be matched to a key in a seed table; generating a first fingerprint by decomposing the received input name into a first set n-grams; generating, based on the received input name, a second fingerprint using a predetermined pronunciation schema, wherein the second fingerprint is a phonetic fingerprint; generating a third fingerprint by decomposing the second fingerprint into a second set of n-grams; identifying a matching key by matching any combination of the first fingerprint, the second fingerprint, and the third fingerprint against keys in the seed table; and cataloging the metadata with the matching key as a tag.

Abstract: A system and computer implemented method for cataloging database metadata using a probabilistic signature matching process are provided. The method includes receiving an input name to be matched to keys in a data corpus; dividing the received input name into a plurality of text segments; identifying a set of matching keys by matching each of the plurality text segments against keys in the data corpus; analyzing the set of matching keys to construct a tag; and cataloging the metadata with the matching key as the construct tag.

Abstract: A method and system for tagging database columns are presented. The method includes receiving an input column name of at least one column in a database; performing signature matching of the input column name to contents of a seed table; determining a first confidence score for the signature matching; and tagging a matching value in the seed table as a tag for the input column name, when a first confidence score exceeds a first threshold value.

Abstract: The present disclosure includes a system, method, and article of manufacture for generating an entity graph. The method may comprise determining a relationship between a first entity and a second entity based upon internal data, external data, and/or online data associated with the first entity, and generating the entity graph comprising at least two nodes and an edge connecting the at least two nodes. The method may further comprise, in various embodiments, tailoring marketing to the first entity based upon the entity graph, detecting fraud against the first entity based upon the entity graph, periodically updating the entity graph based upon new internal data and new online data, and/or adjusting the edge based upon a change in the relationship between the first entity and the second entity.

Abstract: The present disclosure includes a system, method, and article of manufacture for generating an entity graph. The method may comprise determining a relationship between a first entity and a second entity based upon internal data, external data, and/or online data associated with the first entity, and generating the entity graph comprising at least two nodes and an edge connecting the at least two nodes. The method may further comprise, in various embodiments, tailoring marketing to the first entity based upon the entity graph, detecting fraud against the first entity based upon the entity graph, periodically updating the entity graph based upon new internal data and new online data, and/or adjusting the edge based upon a change in the relationship between the first entity and the second entity.

Abstract: The present disclosure includes a system, method, and article of manufacture for generating an entity graph. The method may comprise determining a relationship between a first entity and a second entity based upon internal data, external data, and/or online data associated with the first entity, and generating the entity graph comprising at least two nodes and an edge connecting the at least two nodes. The method may further comprise, in various embodiments, tailoring marketing to the first entity based upon the entity graph, detecting fraud against the first entity based upon the entity graph, periodically updating the entity graph based upon new internal data and new online data, and/or adjusting the edge based upon a change in the relationship between the first entity and the second entity.

Abstract: The present disclosure includes a system, method, and article of manufacture for generating an entity graph. The method may comprise determining a relationship between a first entity and a second entity based upon internal data, external data, and/or online data associated with the first entity, and generating the entity graph comprising at least two nodes and an edge connecting the at least two nodes. The method may further comprise, in various embodiments, tailoring marketing to the first entity based upon the entity graph, detecting fraud against the first entity based upon the entity graph, periodically updating the entity graph based upon new internal data and new online data, and/or adjusting the edge based upon a change in the relationship between the first entity and the second entity.

Abstract: Methods and arrangements for quantitatively modeling service processes. A process is assimilated, the process comprising at least one step. At least one quantitative metric with respect to the process is estimated, and at least one mashup pattern applicable to the process is determined, the at least one mashup pattern comprising at least one mashup pattern applicable to at least one process step. The determining includes recalculating the at least one quantitative metric in consideration of at least one mashup pattern and applying at least one mashup pattern to the process responsive to improvement in the at least one quantitative metric.