Abstract: Rapid data migration between computing systems using autonomous metadata-driven processes is provided. A system can include one or more process, coupled with memory. The one or more processors can select one or more agents based on a state of metadata that corresponds to a metadata-based platform, and each agent can execute a respective function to migrate client data onto the metadata-based platform. The one or more processors can transmit, using a first agent, a first message including a reference to the state of metadata of the metadata-based platform. The one or more processors can select, based on the first message, a second agent to execute a respective function. The one or more processors can generate, based on execution of respective functions of the first and second agent, a structured query to migrate at least a portion of the client data onto the metadata-based platform.

Abstract: A system can receive an indication of a request to update a data record associated with a profile data structure. The request can include identification parameters to identify the data record to be updated and update parameters specifying the update to be applied to the data record. The system can filter, based on the identification parameters and the profile data structure, a plurality of databases maintained in a computing environment to identify a target database storing the data record to be updated. The system can determine, by inputting a subset of features associated with the data record into a machine learning model, that the request is indicative of an instance of fraud or a valid update request. The system can generate, upon determining that the request is indicative of the valid update request, instructions to cause the target database to update the data record based on the update parameters.

Abstract: Aspects of the present disclosure relate to distributed transactions over a broadcast communication channel within a microservices environment. In embodiments, a method includes: receiving a request to process distributed transactions input in a data schema in order to perform a task of an application in a cloud computing environment; broadcasting to a plurality of microservices a multicast message requesting availability to execute the distributed transactions in the data schema; receiving confirmation of preparation from at least one of the plurality of microservices to execute one or more of the distributed transactions in the data schema; sending at least one unicast message to the at least one of the of the plurality of microservices to execute the one or more of the distributed transactions in the data schema; and receiving an acknowledgement of the execution of each of the distributed transactions in the data schema.

Abstract: Systems, methods, and computer-readable storage media for identifying and generating insights using machine learning and serverless computing systems. When events are detected, data from those events is collected and formatted into predefined formats. That formatted data is then used within an instance, where a machine learning algorithm is executed by a serverless computing system using the data within the instance as input. The result from the machine learning algorithm is an insight into the event and event data, which can be presented to users for interpretation.

Abstract: A method for proving identity when registering for a service includes presenting by the entity a user with options for registering for the service, wherein the options comprise validating an identity of the user through a trusted partner. The method includes receiving, by the entity, user data from the trusted partner responsive to the user logging into a page on the trusted partner. The method includes validating the user identity for the service responsive to a determination that a user identifier from the trusted partner matches a user identifier on record with the entity. The method includes populating entity user data for the service according to the user data received from the trusted partner responsive to successfully validation of the user identity. In embodiments, a risk analysis score is determined for the user and registration steps for registering are selected based on comparison of the registration score with a threshold.

Abstract: Machine-learning based dynamic caching for chatbots is described. A system identifies a session between a client device and a chatbot. The system inputs, into a generative artificial intelligence model, one or more queries and one or more corresponding responses from the session to construct a query and a response that, together, represent the session. The system validates the query and the response based on a first schema model established for a type of data field in the query and the response. The system creates a link between the query and the response. The system stores, responsive to the validation of the query and the response, the link, the query, and the response in a cache memory. The chatbot uses the link in the cache memory to service one or more subsequent queries provided to the chatbot.

Abstract: A system for code generation using a self-learning system is described. A data processing system can receive a command to generate a computer program comprising instructions that execute a network operation in a computing environment. A data processing system can generate a plurality of computer programs using a pool of models, each model initialized using a dictionary. A data processing system can select, based on an evaluation by the pool of models of the plurality of computer programs, a first computer program from the first plurality of computer programs, the selection based on the first computer program satisfying a metric. A data processing system can execute, responsive to the selection, the first computer program in the computing environment. A data processing system can evaluate the performance of first computer program’s execution in the computing environment. A data processing system can perform an action, based on the evaluation.

Abstract: A system can identify requests to update data records in a database. Each request can include an identifier of a source application and can update a respective data record at a second timestamp, which is subsequent to a first timestamp when the update was applied. The system can establish log entries for the requests in the database. Each log entry can include a timestamp corresponding to a respective request and the source application identifier. The system can determine an active user session with the source application, including a session start time. The system can select a subset of log entries from the database. Each selected log entry can have a timestamp prior to the session start time and an identifier matching the source application. The system can execute a target replay engine to provide updates to the source application to perform a network operation.

Abstract: A system can receive textual input from a client device via a chatbot interface. The system can classify, by machine learning models, the textual input into categories, where the categories correspond to content-based categories and attribute categories. The system can determine, by the machine learning models, a polarity score for the textual input based on the categories. The system can detect, via a payroll processing system, a payroll-related event based on the polarity score and the profile. The system can identify, using the machine learning models, a churning event based on the payroll-related event. The system can generate, by the machine learning models, a command to adjust access control policies associated with the profile, where the command modifies access to a subset of payroll records maintained in a database.

Abstract: The technical solutions described herein are directed to improving profile provisioning. A system receives a request to access a target application, the request comprising at least one unique identifier corresponding to a profile. The system determines, responsive to receipt of the request, an absence of an account from a directory based on the at least one unique identifier. The system provides, for display on a first graphical user interface responsive to the absence of the account from the directory, one or more requests for one or more personal identifiers. The system verifies, responsive to receipt of the one or more personal identifiers via the first graphical user interface, that the one or more personal identifiers correspond to the profile. The system generates, responsive to verification of the one or more personal identifiers, the account. The system causes, responsive to generation of the account, the target application to execute.

Abstract: A computing architecture for machine learning based application development tracking and aggregation is provided. A system can receive, using an application programming interface call, a data stream from a digital channel. The system can detect, based on the data streams and machine learning, an indication of a modification to a process executed by an application. The system can trigger, responsive to the detection of the indication, a validation operation for the modification to the process, and compare a version of the application corresponding to the modification with a previous version of the application stored prior to the indication of the modification. The system can validate, based on the comparison, the indication of the modification to the process and execute an action, responsive to the validation.

Abstract: The technical solutions described herein present a user interface with enhanced assistance content searching combining keyword and semantic search results u. A system can identify a term of a search query input into a user interface of a device and generate keyword search results, based on the term, for display in the user interface. The system can determine to use a semantic search responsive to a parameter of the keyword search results not satisfying a threshold. Responsive to this determination, the system can generate using the semantic search for a vector representation of the one or more terms and vector representations of contents to assist with the search query, one or more semantic search results. The system can provide, for display via the user interface, a combination of the keyword search results and the semantic search results, with the parameter satisfying the threshold.

Abstract: Aspects of this technical solution can identify a request to transmit a data structure to an electronic address, where the request includes a first unique key for a first account that generates the data structure, and a second unique key for a second account for the electronic address, determine, from the second unique key, that the electronic address is authorized to receive the data structure, provide, responsive to the electronic address being authorized to receive the data structure, the data structure for storage on the data repository, identify a location of the data structure stored on the data repository, generate, from the location, a uniform resource link configured for access via the second account, and transmit the uniform resource link to a device for the second account to cause, responsive to an interaction with the uniform resource link, the device to access the data structure located on the data repository.