A system, method and computer program product for cognitive copy and paste. The method includes: receiving, at a hardware processor of a computer system, an input representing a selection of a content captured from a source application program, and receiving an input representing an identified target application program that will receive the selected content to be copied and rendered in the target application program. The selected content is analyzed to determine a context for the selected content; and a rendering of the selected content at a location within the destination application based on the determined context, the rendering achieving a best representation of the selected content on the destination application. The analyzing includes invoking a natural language processor to determine an intent, meaning, or an intended use of the selected content based on the determined context, and employs a support vector machine for determining a best format change when rendering.

Logic may process documents, search documents, test controls, and self-heal control management. Logic may ingest and/or process requirements from documents and associate requirements with controls and/or other data types such as issues, events, test results, outputs, questions and answers (Q&As), and/or the like. Logic may train an ingestion engine to identify requirements. Logic may implement automatic control testing including inference and performance of remedial actions. And logic may include self-healing control management including inference of new controls based on uncorrelated requirements, inference of remedial actions based on the new controls, and performance of the remedial actions.

The disclosed technology includes multi-way triggering of automatic replication elements selectively within and across documents, cellular atomization of spreadsheet cells and charts while retaining their desired formula, function and content properties, combining the selective multi-way replication with the cellular atomization, and employing a library capability to easily reuse automatically coordinating elements and atomized spreadsheet or tabular cells and charts.

The disclosed technology includes multi-way triggering of automatic replication elements selectively within and across documents, cellular atomization of spreadsheet cells and charts while retaining their desired formula, function and content properties, combining the selective multi-way replication with the cellular atomization, and employing a library capability to easily reuse automatically coordinating elements and atomized spreadsheet or tabular cells and charts.

Disclosed is a system, method, and computer program product for implementing a log analytics method and system that can configure, collect, and analyze log records in an efficient manner. Machine learning-based classification can be performed to classify logs. This approach is used to group logs automatically using a machine learning infrastructure.

Disclosed is a system, method, and computer program product for implementing a log analytics method and system that can configure, collect, and analyze log records in an efficient manner. Machine learning-based classification can be performed to classify logs. This approach is used to group logs automatically using a machine learning infrastructure.

A system and method are disclosure for obtaining a set of candidate edits for a word of a sentence, wherein each of the set of candidate edits includes an edit word, identifying, in the sentence, a two or more surrounding words that each have a dependency relationship with the edit word, wherein at least one of the two or more surrounding words is identified irrespective of their proximity to the edit word, providing, as input to a grammar accuracy prediction model, the dependency relationship between the edit word and each of the surrounding words and the set of candidate edits, obtaining one or more outputs from the grammar accuracy prediction model, wherein the one or more outputs indicate grammatical accuracy of each candidate edit from the set in the sentence in view of the dependency relationship with surrounding words, and selecting the candidate edit with highest accuracy from the candidate edit set for the sentence.

Systems, methods, and products for auto tagging structured PDF documents that do not have accessibility tags. In one embodiment, structured PDF documents having accessibility tags are first parsed and analyzed to organize the visual components of the documents. The relationships of the identified objects to DOM elements (e.g., tags) are determined, and the objects and related DOM elements are stored in training files. The training files are used to train various classifiers. Untagged PDF documents are then parsed to identify included visual objects, and the classifiers are used to determine DOM elements that should be associated with visual objects identified in the untagged PDF documents. This information is used to construct a DOM structure corresponding to each untagged document. A new PDF is then generated corresponding to each untagged document using the generated DOM structure and visual object information.

Systems, methods, and products for auto tagging structured PDF documents that do not have accessibility tags. In one embodiment, structured PDF documents having accessibility tags are first parsed and analyzed to organize the visual components of the documents. The relationships of the identified objects to DOM elements (e.g., tags) are determined, and the objects and related DOM elements are stored in training files. The training files are used to train various classifiers. Untagged PDF documents are then parsed to identify included visual objects, and the classifiers are used to determine DOM elements that should be associated with visual objects identified in the untagged PDF documents. This information is used to construct a DOM structure corresponding to each untagged document. A new PDF is then generated corresponding to each untagged document using the generated DOM structure and visual object information.

Systems and methods provide a deployable cloud-agnostic redaction container for performing optical character recognition and redacting information from a document using a cloud-based, guided redaction framework. An example method for document redaction includes receiving a plurality of documents and extracting pages from the plurality of documents. The method then determines, based on a load balancing criterion, a processing order for the pages extracted from the plurality of documents, and performs, based on the processing order, an optical character recognition process and a redaction process on the pages to generate redacted pages. The redacted pages are provided for transmission or storage to a cloud data management platform.