Abstract: Embodiments relate to data storage systems and data processing systems using a data hub, connector grid, and channel services. The systems can extract raw data from a plurality of source systems, and load and store the raw data at a data hub implemented by a non-transient data store. The systems can receive request to generate data for consumption and, in response, transmit generates data sets to channel services. The system can implement event detection and logging. The system can implement policy enforcement and identity management with access controls.

Abstract: Disclosed herein are methods and systems to retrieve and analyze data using customized machine-readable instructions. A method comprises identifying a set of computer-executable commands to satisfy an electronic request; identifying one or more dependencies within the set of computer-executable commands; generating a machine-readable instruction using at least a subset of the computer-executable commands in accordance with at least one dependency; and transmitting the machine-readable instruction to a second processor.

Abstract: Disclosed are methods and systems for using artificial intelligence (AI) for image recognition by using predefined coordinates to extract a portion of a received image, the extracted portion comprising a word to be identified having at least a first letter and a second letter; executing an image recognition protocol to identify the first letter; when the server is unable to identify the second letter, the server executes an AI model having a nodal data structure to identify the second letter based upon the identified first letter, the nodal data structure comprising a set of nodes where each node represents a letter, each node connected to at least one other node, wherein connection of a first node to a second node corresponds to a probability that a letter corresponding to the second node is used in a word subsequent to a letter corresponding to the first node.

Abstract: Disclosed are methods and systems for using artificial intelligence (AI) for image recognition by using predefined coordinates to extract a portion of a received image, the extracted portion comprising a word to be identified having at least a first letter and a second letter; executing an image recognition protocol to identify the first letter; when the server is unable to identify the second letter, the server executes an AI model having a nodal data structure to identify the second letter based upon the identified first letter, the nodal data structure comprising a set of nodes where each node represents a letter, each node connected to at least one other node, wherein connection of a first node to a second node corresponds to a probability that a letter corresponding to the second node is used in a word subsequent to a letter corresponding to the first node.

Abstract: Embodiments relate to systems, processes and devices for an information delivery platform or data hub with an alert processor that can be configured to receive a request to generate an alert configuration at the data hub, the request indicating a target unit; generate and store an alert rule corresponding to the alert configuration, the alert rule having a trigger and an action; detect an event at the data hub based on a set of data of the data stored at the data hub, the event having event data; convert the event data to an alert trigger at the data hub based on the trigger of the alert rule; generate an alert notification for the alert trigger based on the action of the alert rule; and transmit the alert notification to the target unit.

Abstract: Systems and methods for processing data are provided. The system may include at least a processor and a non-transient data memory storage, the data memory storage containing machine-readable instructions for execution by the processor, the machine-readable instructions configured to, when executed by the processor, provide an information delivery platform configured to: extract raw data from a plurality of source systems; load and store the raw data at a non-transient data store; receive a request to generate data for consumption for a specific purpose; in response to the request, select a set of data from the raw data based on a data map; transform the selected set of data into a curated set of data based on the data map; and transmit the curated set of data to a channel for consumption.

Abstract: Embodiments relate to systems, processes and devices for an information delivery platform or data hub with an alert processor that can be configured to receive a request to generate an alert configuration at the data hub, the request indicating a target unit; generate and store an alert rule corresponding to the alert configuration, the alert rule having a trigger and an action; detect an event at the data hub based on a set of data of the data stored at the data hub, the event having event data; convert the event data to an alert trigger at the data hub based on the trigger of the alert rule; generate an alert notification for the alert trigger based on the action of the alert rule; and transmit the alert notification to the target unit.

Abstract: Embodiments relate to data storage systems and data processing systems using a data hub, connector grid, and channel services. The systems can extract raw data from a plurality of source systems, and load and store the raw data at a data hub implemented by a non-transient data store. The systems can receive request to generate data for consumption and, in response, transmit generates data sets to channel services. The system can implement event detection and logging. The system can implement policy enforcement and identity management with access controls.

Abstract: Systems and methods for processing data are provided. The system may include at least a processor and a non-transient data memory storage, the data memory storage containing machine-readable instructions for execution by the processor, the machine-readable instructions configured to, when executed by the processor, provide an information delivery platform configured to: extract raw data from a plurality of source systems; load and store the raw data at a non-transient data store; receive a request to generate data for consumption for a specific purpose; in response to the request, select a set of data from the raw data based on a data map; transform the selected set of data into a curated set of data based on the data map; and transmit the curated set of data to a channel for consumption.

Abstract: Embodiments relate to data storage systems and data processing systems using a data hub, connector grid, and channel services. The systems can extract raw data from a plurality of source systems, and load and store the raw data at a data hub implemented by a non-transient data store. The systems can receive request to generate data for consumption and, in response, transmit generates data sets to channel services. The system can implement event detection and logging. The system can implement policy enforcement and identity management with access controls.

Abstract: Disclosed are methods and systems for using artificial intelligence (AI) for image recognition by using predefined coordinates to extract a portion of a received image, the extracted portion comprising a word to be identified having at least a first letter and a second letter; executing an image recognition protocol to identify the first letter; when the server is unable to identify the second letter, the server executes an AI model having a nodal data structure to identify the second letter based upon the identified first letter, the nodal data structure comprising a set of nodes where each node represents a letter, each node connected to at least one other node, wherein connection of a first node to a second node corresponds to a probability that a letter corresponding to the second node is used in a word subsequent to a letter corresponding to the first node.

Abstract: Disclosed are methods and systems for using artificial intelligence (AI) for image recognition by using predefined coordinates to extract a portion of a received image, the extracted portion comprising a word to be identified having at least a first letter and a second letter; executing an image recognition protocol to identify the first letter; when the server is unable to identify the second letter, the server executes an AI model having a nodal data structure to identify the second letter based upon the identified first letter, the nodal data structure comprising a set of nodes where each node represents a letter, each node connected to at least one other node, wherein connection of a first node to a second node corresponds to a probability that a letter corresponding to the second node is used in a word subsequent to a letter corresponding to the first node.

Abstract: Disclosed are methods and systems for using artificial intelligence (AI) for image recognition by using predefined coordinates to extract a portion of a received image, the extracted portion comprising a word to be identified having at least a first letter and a second letter; executing an image recognition protocol to identify the first letter; when the server is unable to identify the second letter, the server executes an AI model having a nodal data structure to identify the second letter based upon the identified first letter, the nodal data structure comprising a set of nodes where each node represents a letter, each node connected to at least one other node, wherein connection of a first node to a second node corresponds to a probability that a letter corresponding to the second node is used in a word subsequent to a letter corresponding to the first node.

Abstract: Embodiments relate to systems, processes and devices for an information delivery platform or data hub with an alert processor that can be configured to receive a request to generate an alert configuration at the data hub, the request indicating a target unit; generate and store an alert rule corresponding to the alert configuration, the alert rule having a trigger and an action; detect an event at the data hub based on a set of data of the data stored at the data hub, the event having event data; convert the event data to an alert trigger at the data hub based on the trigger of the alert rule; generate an alert notification for the alert trigger based on the action of the alert rule; and transmit the alert notification to the target unit.

Abstract: Systems and methods for processing data are provided. The system may include at least a processor and a non-transient data memory storage, the data memory storage containing machine-readable instructions for execution by the processor, the machine-readable instructions configured to, when executed by the processor, provide an information delivery platform configured to: extract raw data from a plurality of source systems; load and store the raw data at a non-transient data store; receive a request to generate data for consumption for a specific purpose; in response to the request, select a set of data from the raw data based on a data map; transform the selected set of data into a curated set of data based on the data map; and transmit the curated set of data to a channel for consumption.

Abstract: Embodiments relate to systems and processes for digital document services, having at least a processor and a non-transient data memory storage, the data memory storage containing machine-readable instructions for execution by the processor, the machine-readable instructions configured to, when executed by the processor, provide a document service. The document service can extract data from a plurality of source systems; load and store the data at a data hub implemented by a non-transient data store; receive a request to generate a document package at the data hub, the request indicating a target unit; generate and store the document package using a subset of data from the data at the data hub, the document package having at least one electronic signature request; detect a signature event at the data hub; and transmit the document package to the target unit.

Abstract: Embodiments relate to data storage systems and data processing systems using a data hub, connector grid, and channel services. The systems can extract raw data from a plurality of source systems, and load and store the raw data at a data hub implemented by a non-transient data store. The systems can receive request to generate data for consumption and, in response, transmit generates data sets to channel services. The system can implement event detection and logging. The system can implement policy enforcement and identity management with access controls.