Abstract: A method is provided. The method may include, in response to electronically receiving a document, automatically classifying the document and different parts of the document, by electronically identifying a document type associated with the document and electronically tagging data associated with the different parts of the document based on classification rules. The method may further include automatically extracting the tagged data associated with the automatically classified document based on data extraction rules. The method may further include detecting first feedback associated with the classification rules and second feedback associated with the data extraction rules. The method may further include automatically generating and updating validation rules based on the identified document type, the detected first feedback, and the detected second feedback to validate the automatically classified document and the automatically tagged and extracted data.

Abstract: A method is provided. The method may include, in response to electronically receiving a document, automatically classifying the document and different parts of the document, by electronically identifying a document type associated with the document and electronically tagging data associated with the different parts of the document based on classification rules. The method may further include automatically extracting the tagged data associated with the automatically classified document based on data extraction rules. The method may further include detecting first feedback associated with the classification rules and second feedback associated with the data extraction rules. The method may further include automatically generating and updating validation rules based on the identified document type, the detected first feedback, and the detected second feedback to validate the automatically classified document and the automatically tagged and extracted data.

Abstract: A data harvester enhances compliance audits by characterizing data sources, sampling data in one or more of the data sources to determine likelihood of success of the data harvest, estimating time for the data harvest, making recommendations from the samples based on machine learning relating to previous runs, then sampling additional data while estimated expected completion time. The harvested data may then be analyzed and compared to compliance requirements, and a compliance report may be generated.

Abstract: A data harvester enhances compliance audits by characterizing data sources, sampling data in one or more of the data sources to determine likelihood of success of the data harvest, estimating time for the data harvest, making recommendations from the samples based on machine learning relating to previous runs, then sampling additional data while estimated expected completion time. The harvested data may then be analyzed and compared to compliance requirements, and a compliance report may be generated.

Abstract: Systems, methods, and computer program products leverage artificial intelligence, and machine learning to process image enhancements using image enhancement techniques and algorithms. Image enhancements are determined to be best suited for enhancing each image as a function of each images' calculated validation parameters by an analytics engine. The images are each categorized by the image quality as a function of the validation parameters. Images identified as having an improvement space are further processed by querying the images' validation parameters using a knowledge base comprising historical data describing past image enhancements and historical validation parameters to the current image. A matrix of recommended enhancements, along with a predicted success rate for improving the image quality is provided to a user interface.

Abstract: Systems, methods, and computer program products leverage artificial intelligence, and machine learning to process image enhancements using image enhancement techniques and algorithms. Image enhancements are determined to be best suited for enhancing each image as a function of each images' calculated validation parameters by an analytics engine. The images are each categorized by the image quality as a function of the validation parameters. Images identified as having an improvement space are further processed by querying the images' validation parameters using a knowledge base comprising historical data describing past image enhancements and historical validation parameters to the current image. A matrix of recommended enhancements, along with a predicted success rate for improving the image quality is provided to a user interface.

Abstract: A method, computer program product, and system for sharing cloud data resources among associated users. Upon receipt of a request from an associate of a primary user to share a cloud data resource, a sharing profile of the primary user is evaluated to determine if the associate is permitted to share the requested resource, and if so, the requested resource is made available to the associate. The shared cloud data resource can be a database application, data object, data storage resource, or a portion thereof.