Abstract: An apparatus for sorting and ordering data based on filtering parameters comprises a memory operable to store a digital folder and a processor operably coupled to the memory. The processor is configured to receive a transmission comprising verification of an interaction session established between a first user and an entity and to receive file information corresponding to one or more files stored in the digital folder from an external exchange. The processor is further configured to generate a file vector comprising the one or more files of the digital folder that is sorted based on applying a selection factor to the received file information for each of the one or more files. The processor is further configured to send a transmission to a user device comprising the file vector and an indication to utilize a first file of the file vector during the interaction session.

Abstract: An apparatus for sorting and ordering data based on filtering parameters comprises a memory operable to store a digital folder and a processor operably coupled to the memory. The processor is configured to receive a transmission comprising verification of an interaction session established between a first user and an entity and to receive file information corresponding to one or more files stored in the digital folder from an external exchange. The processor is further configured to generate a file vector comprising the one or more files of the digital folder that is sorted based on applying a selection factor to the received file information for each of the one or more files. The processor is further configured to send a transmission to a user device comprising the file vector and an indication to utilize a first file of the file vector during the interaction session.

Abstract: A system comprises a processor configured to receive user criteria associated with an operation and to obtain a plurality of segment candidates from a plurality of sources, each source configured to provide a segment of the operation that corresponds to a respective segment candidate obtained from said source. The processor is configured to determine a plurality of operation structure candidates for the operation. Each operation structure candidate is determined based on aggregating a respective subset of the plurality of segment candidates. The processor is configured to determine a priority for each operation structure candidate based on prioritization rules stored in memory of the system and based on the user criteria. The processor is configured to communicate an output indicating one or more of the operation structure candidates for the operation. The output is based on the priority.

Abstract: An entity data record includes, for each of a plurality of entities, a plurality of attribute data entries. Each attribute data entry indicates a characteristic of the entity. For each entity of the plurality of entities, an authentication score is determined indicating an extent to which the characteristics indicated by the attribute data entries for the entity are authenticated. The authentication score is stored in memory for each entity in the entity data record. A device provides a request for information about a first entity of the plurality of entities. After receiving the request, one or more attribute entries associated with the first entity and a first authentication score of the first entity are provided to the device.

Abstract: Aspects of the disclosure relate to providing cloud computing resources from one or more cloud service providers for a client computing device through a computing platform. The client computing device may benefit from an economy of scale while being able to obtain different types of cloud services over a plurality of cloud providers. The client computing device may request an initial amount of cloud services and subsequently may request cloud services that utilize a requested amount of cloud resources. The requested amount of cloud resources may be apportioned among the plurality of cloud service providers, to provide the requested cloud service. The computing platform may also support a cloud abstraction layer interacting between client computing device and one or more cloud providers so that the client computing device can obtain cloud service in a transparent manner.

Abstract: Machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems are disclosed. Input data for a machine learning system may be analyzed to determine one or more potential biases in the input data. Based on the one or more potential biases, the input data may be grouped, and/or weights may be applied to one or more portions of the input data. The input data may be input into a machine learning algorithm, which may generate output data. Based on an evaluation of the output data, the input data may be grouped, and/or second weights may be applied to one or more portions of the input data.

Abstract: Aspects of the disclosure relate to providing cloud computing resources from one or more cloud service providers for a client computing device through a computing platform. The client computing device may benefit from an economy of scale while being able to obtain different types of cloud services over a plurality of cloud providers. The client computing device may request an initial amount of cloud services and subsequently may request cloud services that utilize a requested amount of cloud resources. The requested amount of cloud resources may be apportioned among the plurality of cloud service providers, to provide the requested cloud service. The computing platform may also support a cloud abstraction layer interacting between client computing device and one or more cloud providers so that the client computing device can obtain cloud service in a transparent manner.

Abstract: Aspects of the disclosure relate to providing cloud computing resources from one or more cloud service providers for a client computing device through a computing platform. The client computing device may benefit from an economy of scale while being able to obtain different types of cloud services over a plurality of cloud providers. The client computing device may request an initial amount of cloud services and subsequently may request cloud services that utilize a requested amount of cloud resources. The requested amount of cloud resources may be apportioned among the plurality of cloud service providers, to provide the requested cloud service. The computing platform may also support a cloud abstraction layer interacting between client computing device and one or more cloud providers so that the client computing device can obtain cloud service in a transparent manner.

Abstract: Aspects of the present disclosure are directed to electronic computer implemented methods of data communication. The method includes receiving a plurality of virtual nodes with EDI data payload including a node attribute, a GPS location attribute and a biometric ID attribute and at least one data element associated with the GPS location attribute. In further aspect, the method includes electronically via a data communications network, processing the EDI data payloads including the node attribute, the GPS location attribute and the biometric ID attribute and the at least one data element associated with the GPS location attribute. Then, electronically processing the EDI data payloads in a network with machine learning and providing an electronic message responsive thereto. In yet a further aspect, the data communications method includes a step of processing the smart data set in the network with machine learning and providing an electronic message responsive thereto.

Abstract: Machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems are disclosed. Input data for a machine learning system may be analyzed to determine one or more potential biases in the input data. Based on the one or more potential biases, the input data may be grouped, and/or weights may be applied to one or more portions of the input data. The input data may be input into a machine learning algorithm, which may generate output data. Based on an evaluation of the output data, the input data may be grouped, and/or second weights may be applied to one or more portions of the input data.

Abstract: Aspects of the present disclosure are directed to electronic computer implemented methods of data communication. The method includes receiving a plurality of virtual nodes with EDI data payload including a node attribute, a GPS location attribute and a biometric ID attribute and at least one data element associated with the GPS location attribute. In further aspect, the method includes electronically via a data communications network, processing the EDI data payloads including the node attribute, the GPS location attribute and the biometric ID attribute and the at least one data element associated with the GPS location attribute. Then, electronically processing the EDI data payloads in a network with machine learning and providing an electronic message responsive thereto. In yet a further aspect, the data communications method includes a step of processing the smart data set in the network with machine learning and providing an electronic message responsive thereto.

Abstract: Aspects of the disclosure relate to providing cloud computing resources from one or more cloud service providers for a client computing device through a computing platform. The client computing device may benefit from an economy of scale while being able to obtain different types of cloud services over a plurality of cloud providers. The client computing device may request an initial amount of cloud services and subsequently may request cloud services that utilize a requested amount of cloud resources. The requested amount of cloud resources may be apportioned among the plurality of cloud service providers, to provide the requested cloud service. The computing platform may also support a cloud abstraction layer interacting between client computing device and one or more cloud providers so that the client computing device can obtain cloud service in a transparent manner.

Abstract: Aspects of the present disclosure are directed to electronic computer implemented methods of data communication. The method includes receiving a plurality of virtual nodes with EDI data payload including a node attribute, a GPS location attribute and a biometric ID attribute and at least one data element associated with the GPS location attribute. In further aspect, the method includes electronically via a data communications network, processing the EDI data payloads including the node attribute, the GPS location attribute and the biometric ID attribute and the at least one data element associated with the GPS location attribute. Then, electronically processing the EDI data payloads in a network with machine learning and providing an electronic message responsive thereto. In yet a further aspect, the data communications method includes a step of processing the smart data set in the network with machine learning and providing an electronic message responsive thereto.

Abstract: Aspects of the present disclosure are directed to electronic computer implemented methods of data communication. The method includes receiving a plurality of virtual nodes with EDI data payload including a node attribute, a GPS location attribute and a biometric ID attribute and at least one data element associated with the GPS location attribute. In further aspect, the method includes electronically via a data communications network, processing the EDI data payloads including the node attribute, the GPS location attribute and the biometric ID attribute and the at least one data element associated with the GPS location attribute. Then, electronically processing the EDI data payloads in a network with machine learning and providing an electronic message responsive thereto. In yet a further aspect, the data communications method includes a step of processing the smart data set in the network with machine learning and providing an electronic message responsive thereto.

Abstract: A method for bifurcating data storage to enable implementation and manipulation of an interactive entitlement structure is provided. The method may include displaying a GUI and copying information corresponding to the list of entitlements to using one or more features associated with the GUI. The method may copy from a remote System of Record to a cache memory local to the GUI. The method may include displaying on the GUI signatories with an entitlement authorization; receiving a modification of the entitlement authorization; and extracting a signature of a signatory with entitlement authorization. An input signal may be received that indicates an input signal indicator is hovering over the signatory and displaying, on the GUI, in response to the hovering indication, 1) a copy of the signature of the signatory; 2) a hierarchal list of signatories with current entitlement authorization; and/or 3) a listing of documents signed by a signatory.

Abstract: A method for providing hierarchal client entitlement information in a graphical user interface (“GUI”) is provided. The method includes deploying the information on a mobile platform. The method may further include inventorying a list of possible landing sites for deploying the mobile platform and determining which of the inventoried landing sites requires, upon deployment, a connection to an Oracle database. The method may further include eliminating any member of the list of possible landing sites that requires, upon deployment, a connection to the Oracle database from the list of possible landing sites. Following the eliminating, the method may include providing a user, via the GUI, a selection capability to select one of the list of possible landing sites as a default landing site for the deploying the mobile platform.

Abstract: A method for providing data warehousing for a list of authorized signatories is provided. The method may include displaying a hierarchal list of signatories with at least one entitlement authorization level. The method may use a GUI to display the list of entitlements in an array of at least three rows of entitlement authorization levels. The method may further include receiving, from the client, a modification to the at least one entitlement authorization. The method may extract, from client documents a signature of a signatory with entitlement authorization. The method may receive a command to hover, on a Graphical User Interface (GUI), over the signatory. In response to the hovering, the may display, preferably on a hierarchical display, a copy of the signature of the signatory, a hierarchical list of signatories with current entitlement authorization, and a listing of documents signed by each of the signatories.

Abstract: A method for bifurcating data storage to enable implementation and manipulation of an interactive entitlement structure is provided. The method may include displaying a GUI and copying information corresponding to the list of entitlements to using one or more features associated with the GUI. The method may copy from a remote System of Record to a cache memory local to the GUI. The method may include displaying on the GUI signatories with an entitlement authorization; receiving a modification of the entitlement authorization; and extracting a signature of a signatory with entitlement authorization. An input signal may be received that indicates an input signal indicator is hovering over the signatory and displaying, on the GUI, in response to the hovering indication, 1) a copy of the signature of the signatory; 2) a hierarchal list of signatories with current entitlement authorization; and/or 3) a listing of documents signed by a signatory.

Abstract: A method for providing hierarchal client entitlement information in a graphical user interface (“GUI”) is provided. The method includes deploying the information on a mobile platform. The method may further include inventorying a list of possible landing sites for deploying the mobile platform and determining which of the inventoried landing sites requires, upon deployment, a connection to an Oracle database. The method may further include eliminating any member of the list of possible landing sites that requires, upon deployment, a connection to the Oracle database from the list of possible landing sites. Following the eliminating, the method may include providing a user, via the GUI, a selection capability to select one of the list of possible landing sites as a default landing site for the deploying the mobile platform.

Abstract: A method for providing data warehousing for a list of authorized signatories is provided. The method may include displaying a hierarchal list of signatories with at least one entitlement authorization level. The method may use a GUI to display the list of entitlements in an array of at least three rows of entitlement authorization levels. The method may further include receiving, from the client, a modification to the at least one entitlement authorization. The method may extract, from client documents, a signature of a signatory with entitlement authorization. The method may receive a command to hover, on a Graphical User Interface (“GUI”), over the signatory. In response to the hovering, the may display, preferably on a hierarchal display, a copy of the signature of the signatory, a hierarchal list of signatories with current entitlement authorization, and a listing of documents signed by each of the signatories.