Abstract: Systems and methods are provided for extracting entities from a body of text, using large language models. An example method comprises receiving, from a user, a first input comprising a body of text to be processed for information and a second input comprising a set of at least one element, wherein each of the at least one element comprises information associated with an entity, and wherein each of the at least one entity is data to be extracted from the first input. The example method further comprises creating a tailored input for a machine learning model based on the second input, sending the tailored input to the machine learning model, receiving an output from the machine learning model, processing the output, and providing a processed interactive output to the user.

Abstract: Systems and methods for optimizing the combination of products and services a business offers to customers, identifying a combination of top markets a business offers to customers for growth opportunities, and optimizing advertisements. In one implementation, the disclosed system includes at least one processing device and at least one non-transitory memory containing software code configured to cause the processing device to: gather customer data and financial institution data from a plurality of data sources; extract a plurality of customer behavior features and a plurality of financial institution behavior features; process the customer behavior features and financial institution behavior features using one or more trained foundation models; input the foundation model outputs and a plurality of goal inputs into a trained product model; and output a natural-language product response.

Abstract: Systems and methods for optimizing the combination of products and services a business offers to customers, identifying a combination of top markets a business offers to customers for growth opportunities, and optimizing advertisements. In one implementation, the disclosed system includes at least one processing device and at least one non-transitory memory containing software code configured to cause the processing device to: gather customer data and financial institution data from a plurality of data sources; extract a plurality of customer behavior features and a plurality of financial institution behavior features; process the customer behavior features and financial institution behavior features using one or more trained foundation models; input the foundation model outputs and a plurality of goal inputs into a trained product model; and output a natural-language advertisement response.

Abstract: Systems and methods for optimizing the combination of products and services a business offers to customers, identifying a combination of top markets a business offers to customers for growth opportunities, and optimizing advertisements. In one implementation, the disclosed system includes at least one processing device and at least one non-transitory memory containing software code configured to cause the processing device to: gather customer data and financial institution data from a plurality of data sources; extract a plurality of customer behavior features and a plurality of financial institution behavior features; process the customer behavior features and financial institution behavior features using one or more trained foundation models; input the foundation model outputs and a plurality of goal inputs into a trained product model; and output a natural-language market response.

Abstract: Systems and methods are provided for services utilizing transaction devices such as Automated Teller Machines. An example method comprises receiving a request comprising at least one constraint for a transaction and providing at least one ATM that satisfies at least one constraint of the request. A second method comprises analyzing, via a language model, the request, and based on the analysis, determining the at least one ATM that satisfies at least one constraint of the request. A third method comprises utilizing a QR code to perform a transaction at an ATM without receiving tactile input.

Abstract: Systems and methods are provided for services utilizing transaction devices such as Automated Teller Machines. An example method comprises receiving a request comprising at least one constraint for a transaction and providing at least one ATM that satisfies at least one constraint of the request. A second method comprises analyzing, via a language model, the request, and based on the analysis, determining the at least one ATM that satisfies at least one constraint of the request. A third method comprises utilizing a QR code to perform a transaction at an ATM without receiving tactile input.

Abstract: Systems and methods for troubleshooting issues based on historical resolution data. In one implementation, the disclosed system includes at least one processor and at least one non-transitory memory containing software code configured to cause the processor to: receive source data from a plurality of data sources; extract a plurality of keywords from the source data; store the plurality of keywords in a database; receive a natural-language user issue input from a chatbot; determine whether the received user input matches the keywords in the database, wherein a comparison result is inputted into a trained model; input the user issue input into the trained model; in response to the determining, transmit the resolution from the trained model to the chatbot.

Abstract: Systems and methods are provided for services utilizing transaction devices such as Automated Teller Machines. An example method comprises receiving a request comprising at least one constraint for a transaction and providing at least one ATM that satisfies at least one constraint of the request. A second method comprises analyzing, via a language model, the request, and based on the analysis, determining the at least one ATM that satisfies at least one constraint of the request. A third method comprises utilizing a QR code to perform a transaction at an ATM without receiving tactile input.

Abstract: Systems, devices, methods, and computer readable media for determining potential issues with a software upgrade are disclosed. In one implementation, the disclosed system includes at least one processor and at least one non-transitory memory storing instructions to perform operations when executed by the at least one processor. The operations include training a machine learning model on historic trouble ticket data; receiving data relating to a planned software upgrade; providing the received data to the trained machine learning model, wherein the trained machine learning model generates a tag value; calculating a risk score based on the tag value; and determining a client-specific action to be performed relating to the planned software upgrade and based on the risk score.

Abstract: Computer-implemented systems and methods for analyzing applications include, obtaining user data records from a server, constructing an instruction template, the instruction template includes main streams, the instruction template adding the user data records as user parameters corresponding to the main streams, transmitting the user data records to a file transfer connection, inputting the instruction template and a first command into the file transfer connection, the file transfer connection executes the first command, inputting the file transfer connection and a second command into the script file, the script file executes the second command, opening each of the main streams through the pre-defined driver program by using variable records to retrieve a plurality of in-streams of each of the main streams, aggregating the main streams and the in-streams associated with the user parameters resulting a final output, transmitting the final output to the server.

Abstract: A method for payment transaction monitoring in a real-time payments system includes receiving a payment transaction; assigning an identifier to the payment transaction; associating an event with the identifier at each step of processing the payment transaction; recording the event with the identifier in real-time as the event occurs; monitoring the events in real-time to determine whether a payment transaction stop condition exists; and stopping processing of the payment transaction on a condition that the payment transaction stop condition exists.

Abstract: A method for payment transaction monitoring in a real-time payments system includes receiving a payment transaction; assigning an identifier to the payment transaction; associating an event with the identifier at each step of processing the payment transaction; recording the event with the identifier in real-time as the event occurs; monitoring the events in real-time to determine whether a payment transaction stop condition exists; and stopping processing of the payment transaction on a condition that the payment transaction stop condition exists.

Abstract: A method for payment transaction monitoring in a real-time payments system includes receiving a payment transaction; assigning an identifier to the payment transaction; associating an event with the identifier at each step of processing the payment transaction; recording the event with the identifier in real-time as the event occurs; monitoring the events in real-time to determine whether a payment transaction stop condition exists; and stopping processing of the payment transaction on a condition that the payment transaction stop condition exists.

Abstract: A method for payment transaction monitoring in a real-time payments system includes receiving a payment transaction; assigning an identifier to the payment transaction; associating an event with the identifier at each step of processing the payment transaction; recording the event with the identifier in real-time as the event occurs; monitoring the events in real-time to determine whether a payment transaction stop condition exists; and stopping processing of the payment transaction on a condition that the payment transaction stop condition exists.

Abstract: A method for payment transaction monitoring in a real-time payments system includes receiving a payment transaction; assigning an identifier to the payment transaction; associating an event with the identifier at each step of processing the payment transaction; recording the event with the identifier in real-time as the event occurs; monitoring the events in real-time to determine whether a payment transaction stop condition exists; and stopping processing of the payment transaction on a condition that the payment transaction stop condition exists.

Abstract: Systems and methods for on demand service integration. A system includes at least one processor and a storage medium storing instructions that, when executed by the one or more processors, cause the at least one processor to perform operations including receiving from a customer system a request to integrate a partner service with an integrator instance at the customer system and searching an integrator database for a partner service communication template based on the received request. The operations also include configuring the integrator instance to receive communications from a partner service instance based on the communication template and establishing a communication link between the integrator instance and the partner service instance.

Abstract: Systems and methods are provided for interacting with an Application Programming Interface (API) using a digital signature. In one embodiment, a system comprises one or more processors that execute the instructions to perform operations. The operations comprise receiving a digital signature from a requesting device, the digital signature comprising an array of one or more bits, wherein each position in the array is associated with a field in the database and with the data stored in the field of an API; identifying one or more requested fields; accessing the database to retrieve the information associated with the one or more requested fields, the information being associated with at least one API; and providing instructions to the requesting device, based on the retrieved information, causing the requesting application to use the API.

Abstract: Systems and methods are provided for implementing automated user interface testing with integrated machine learning models. Systems and methods for detecting and preemptively correcting flow path errors are disclosed. Systems and methods for minimizing user input and optimizing testing efficiency are disclosed. A result dashboard is disclosed in which testing results and errors are displayed and a user may interact with interactive testing reports.

Abstract: Methods and systems for testing of at least one computer application include receiving from a user a monitoring request; selecting a script; performing at least one automation test with at least one automation application; requesting analytic data from at least one computer application; receiving analytic data associated with the at least one computer application; determining response data of the at least one computer application by inputting the analytic data to a comparison model determined based on an analysis technique configured to detect a failure by the at least one computer application; and generating a report based on an output of the analysis technique if the failure by the at least one computer application is detected.

Abstract: Systems and methods are provided for interacting with an Application Programming Interface (API) using a digital signature. In one embodiment, a system comprises one or more processors that execute the instructions to perform operations. The operations comprise receiving a digital signature from a requesting device, the digital signature comprising an array of one or more bits, wherein each position in the array is associated with a field in the database and with the data stored in the field of an API; identifying one or more requested fields; accessing the database to retrieve the information associated with the one or more requested fields, the information being associated with at least one API; and providing instructions to the requesting device, based on the retrieved information, causing the requesting application to use the API.