Abstract: A system to extract data from regions of interest on a document is provided. The system includes a storage device storing an image derived from a document having text information. The system includes a document importer operable to perform optical character recognition to convert image data in the image to machine readable data. The system includes a neural network that identifies at least one region of interest on the image to classify an area of the at least one region of interest as a table. The neural network is operable to take as input the machine readable data and the image and combine both the machine readable data and the image to determine that the classified area is the table.

Abstract: A system for performing document extraction is configured to: (a) receive a first document; (b) extract the first document into document elements, the document elements including pages, lines, paragraphs, or any combination thereof; (c) determine a first set of fields of interest for the first document, wherein the first set of fields of interest are determined via a type of the first document or via a first set of queries for probing the first document; (d) determine, from a plurality of closed domain question answering (CDQA) models, a first set of CDQA models that provides answers to each field of interest included in the first set of fields of interest; and (e) provide answers to the first set of fields of interest to the client device.

Abstract: A system is configured to: (a) ingest a set of codes from a code reference, the code reference including words and non-words; (b) associate the set of codes to a set of representations, forming descriptive links between the set of codes and the set of representations; (c) ingest an unstructured document having a general outline, the unstructured document including (i) at least one of the words in the code reference, (ii) at least one code in the set of codes, or (iii) both (i) and (ii); (d) determine an ontology from content of the unstructured document with an unsupervised learning algorithm; and (e) store the determined ontology in a database, the ontology having an acyclic directed graph structure.

Abstract: A system and method to extract data from regions of interest on a document is disclosed. A storage device stores an image derived from a document having text information. A region of interest identification engine scans the image and identifies at least one region of interest on the image. An optical character recognition module is operable to convert image data in the region of interest to machine readable data. A classification engine classifies the data obtained by the optical character recognition module from the region of interest.

Abstract: A system and method for maintaining private communication between groups of travelers travelling to the same destination. The method is achieved using a navigation module working with an infotainment device such as mobile phone/vehicle dashboard. The navigation module includes a long range, low power transceiver, a positioning transceiver, a Bluetooth wireless transceiver and a network communication transceiver. Each traveler has a navigation module. The method dynamically hosts an instance of the cloud for a connected group. The group leader can create a private travel group and the group is connected using both the cloud a long range, low power RF network. The method helps the group to interact among themselves by sharing their live positions, and responses such as alerts or chats. The group remains connected while the network communication transceiver is active (online) and while long range, low power RF network is active (offline).

Abstract: A non-volatile computer readable medium includes computer program instructions to cause a computing device to perform steps in a process. The process comprises detecting an occurrence of an originating event; selecting, in response to the occurrence of the originating event, a unit of work from a queue; selecting, based at least in part on an identification script, a network available to accept the unit of work; sending the unit of work to a first configurable worker object in the network that encapsulates an application function capable of performing a processing task; processing the unit of work by the first configurable worker object; and indicating, by the first configurable worker object, that the unit of work has been processed.

Abstract: In a distributed processing environment, an adaptor object on a first computer creates a disk cache file that includes a copy of data acquired from a data source. The performance of a CRUD operation on the copy of the data is recorded in a disk cache change history. A business intelligence object requests the data as the data existed prior to the performance of the CRUD operation from a second computer. The second computer, determines that the requested data does not exist on the second computer. The first computer determines, in response to a request from the second computer that the requested data exists on the first computer. The requested data is reconstructed from the copy in the cache to create reconstructed data. A local copy of the reconstructed data is created on the second computer; and a reference to the local copy is provided to the requesting object.

Abstract: A hardware and operating system independent platform and/or run time architecture that implements a configuration and algorithmic based application and process for enabling multiple virtual machines or internal networked physical servers (hosts) to be organized into groups or “realms” in real time and against specific configurable metrics. The configurable metrics include one or more of the following; load or processing capacity availability, cost of CPU processing, location based on risk, importance to business continuity priority requirements, disaster recovery strength and priority, geographic location of host aligned to IP, and any other client specific or custom requirements. A realm manager balances all of these configurable metrics and creates an algorithm to address allocation. The algorithm is fully elastic, allowing for automatic opening and closing of virtual machines to accommodate any internal or external changes.

Abstract: A system for operating a legacy software application is presented. The system includes a distributed processing service. A wrapper software object is configured both to receive processing requests to a legacy software application from outside the distributed processing service and to send the processing requests using the distributed processing service. Additionally, an encapsulated software object includes the legacy software application and an exoskeleton connection service. The exoskeleton connection service is both configured to accept processing requests from the distributed processing service, and mapped to an application programming interface of the legacy software application.