Abstract: The present disclosure involves systems, software, and computer implemented methods for an artificial intelligence work center for ERP data. One example method includes receiving scenario and model settings for an artificial intelligence model for a predictive scenario. A copy of the dataset is processed based on settings to generate a prepared dataset that is provided with the settings to a predictive analytical library. A trained model trained and evaluation data for the trained model is received from the predictive analytical library. A request is received to generate a prediction for the predictive scenario for a target field for a record of the dataset. The record of the dataset is provided to the trained model and a prediction for the target field for the record the dataset is received from the model. The prediction is included for presentation in a user interface that displays information from the dataset.

Abstract: A method for reducing inter-PLMN forwarding of messages relating to Nnrf service operations includes receiving, at a first NRF, a first request for an Nnrf service operation, determining that the first request identifies a PLMN different from a PLMN of the first NRF, determining that the first request cannot be processed locally at the first NRF, and, in response, forwarding the first request to a second NRF in the PLMN identified in the first request. The method further includes receiving , from the second NRF, a response to the first request, caching information from the response, receiving a second request for an Nnrf service operation, determining that the second request identifies a PLMN different from the PLMN of the first NRF, determining that the second request can be processed locally at the first NRF, and processing the second request locally at the first NRF using the cached information from the first response.

Abstract: A system for allocation of resources and processing jobs within a distributed system includes a processor and a memory coupled to the processor. The memory includes at least one process and at least one resource allocator. The process is adapted for processing jobs within a distributed system which receives jobs to be processed. The resource allocator is communicably coupled with at least one process, and is adapted to generate one or more sub-processes within a limit of one or more resources allocated to the process for processing jobs.

Abstract: A method for autonomously generating network function test cases includes detecting a failure case in a network function of a core network of a telecommunications network. The method includes, in response to detecting the failure case, autonomously generating a network function test case based on the failure case. The network function test case includes one or more network status parameters detected when detecting the failure case. The method includes supplying the network function test case to a network testing system configured for executing the network function test case by repeating the one or more network status parameters and determining whether or not the network function repeats the failure case.

Abstract: A method for autonomously generating network function test cases includes detecting a failure case in a network function of a core network of a telecommunications network. The method includes, in response to detecting the failure case, autonomously generating a network function test case based on the failure case. The network function test case includes one or more network status parameters detected when detecting the failure case. The method includes supplying the network function test case to a network testing system configured for executing the network function test case by repeating the one or more network status parameters and determining whether or not the network function repeats the failure case.

Abstract: A system for allocation of resources and processing jobs within a distributed system includes a processor and a memory coupled to the processor. The memory includes at least one process and at least one resource allocator. The process is adapted for processing jobs within a distributed system which receives jobs to be processed. The resource allocator is communicably coupled with at least one process, and is adapted to generate one or more sub-processes within a limit of one or more resources allocated to the process for processing jobs.