Abstract: Managing batched jobs is provided. The method comprises receiving a job batch request from a client for a number of processing jobs. Each job is registered, and jobs that are ready for execution at a specified time are collected. For each collected job an instance of the job is locked to prevent duplicate execution. The locked jobs are queued, and a container is created for each job in the queue. A method of execution is determined for each job in the queue, and each job is then executed according the method determined for that job. Job events for each executing job are logged, a determination if a job was completed successfully is made according to its respective job events. A job status is updated for each completed job. The container of each completed job is then destroyed, and each completed job is unlocked.

Abstract: Managing batched jobs is provided. The method comprises receiving a job batch request from a client for a number of processing jobs. Each job is registered, and jobs that are ready for execution at a specified time are collected. For each collected job an instance of the job is locked to prevent duplicate execution. The locked jobs are queued, and a container is created for each job in the queue. A method of execution is determined for each job in the queue, and each job is then executed according the method determined for that job. Job events for each executing job are logged, a determination if a job was completed successfully is made according to its respective job events. A job status is updated for each completed job. The container of each completed job is then destroyed, and each completed job is unlocked.

Abstract: A method, computer system, and computer program product are provided for processing an output of batch processed information. A document storage system receives the output of batch processed information from a number of company portals, websites, and online systems of organization. The document storage system separates the output into individual documents and individual forms. The document storage system indexes the individual documents and forms according to metadata. The metadata includes structural attributes extracted from the individual documents and forms, and company relevant parameters identified from business intelligence for the organization. The document storage system stores the individual documents and forms in association with the metadata. Responsive to storing the individual documents and forms, the document storage system generates an event message. The event message comprises information about the storing of the individual documents and forms.

Abstract: A method, computer system, and computer program product are provided for processing an output of batch processed information. A document storage system receives the output of batch processed information from a number of company portals, websites, and online systems of organization. The document storage system separates the output into individual documents and individual forms. The document storage system indexes the individual documents and forms according to metadata. The metadata includes structural attributes extracted from the individual documents and forms, and company relevant parameters identified from business intelligence for the organization. The document storage system stores the individual documents and forms in association with the metadata. Responsive to storing the individual documents and forms, the document storage system generates an event message. The event message comprises information about the storing of the individual documents and forms.

Abstract: Training an artificial intelligence system to process agency notices. The process identifies historical data that includes historical text generated from optical character recognition performed on historical images of the agency notices and historical metadata for items in the historical images of the agency notices. The process generates annotations for the historical text. The annotations identify the items in the historical text and locations of the items in the historical text. The process trains the artificial intelligence system using the historical data and the annotations.

Abstract: Enabling a computer to automatically enter information into a unified database from heterogenous documents. An image file is received. The image file is displayed in a first area of a window rendered on a tangible display device. The fields for data entry are displayed in a second area of the window. Optical character recognition is performed on the image file. At least one parameter of text is identified in the image file. The at least one parameter of the text is compared to at least one of a plurality of stored parameters. The text is sorted according to the at least one of the plurality of stored parameters into a plurality of categories, wherein sorted text is formed. The fields are auto-populated and displayed in the second area of the window based on the sorted text.

Abstract: Training an artificial intelligence system to process agency notices. The process identifies historical data that includes historical text generated from optical character recognition performed on historical images of the agency notices and historical metadata for items in the historical images of the agency notices. The process generates annotations for the historical text. The annotations identify the items in the historical text and locations of the items in the historical text. The process trains the artificial intelligence system using the historical data and the annotations.

Abstract: Enabling a computer to automatically enter information into a unified database from heterogenous documents. An image file is received. The image file is displayed in a first area of a window rendered on a tangible display device. The fields for data entry are displayed in a second area of the window. Optical character recognition is performed on the image file. At least one parameter of text is identified in the image file. The at least one parameter of the text is compared to at least one of a plurality of stored parameters. The text is sorted according to the at least one of the plurality of stored parameters into a plurality of categories, wherein sorted text is formed. The fields are auto-populated and displayed in the second area of the window based on the sorted text.