A data processing method related to the field of artificial intelligence includes adding an architecture parameter to each feature interaction item in a first model, to obtain a second model, where the first model is a factorization machine (FM)-based model, and the architecture parameter represents importance of a corresponding feature interaction item; performing optimization on architecture parameters in the second model to obtain the optimized architecture parameters; and obtaining, based on the optimized architecture parameters and the first model or the second model, a third model through feature interaction item deletion.

In a distributed system where a client's call to commit a transaction occurs outside the transaction's lock-hold interval, computation of timestamp information for the transaction is moved to a client library, while ensuring that no conflicting reads or writes are performed between a time of the computation and acquiring all locks for the transaction. The transaction is committed in phases, with each phase being initiated by the client library. Timestamp information is added to the locks to ensure that timestamps are generated during lock-hold intervals. An increased number of network messages is thereby overlapped with a commit wait period in which a write in a distributed database is delayed in time to ensure concurrency in the database.

Described herein are systems and methods for abstracted analysis system design for a dynamic API scanning service. The disclosure provides a simplified API scanning service by abstracting underlining security scanning techniques and configurations. This presents a normalized view to users of the service. Both input parameters and scan output data is abstracted from users, and is driven based on logic in the service. By providing this simplified view, users can quickly, and without prior security scanning knowledge, use this service to measure their security exposure and mitigate as needed.

Disclosed is an improved approach to implement the XA architecture, which permits a TM to call back to a RM via an AP. This approach avoids the need for the TM to maintain authentication/authorization credentials for each RM that will be contacted by the TM. This approach therefore also eliminates the need to establish a direct connection between the TM and the RM. An approach is also provided to integrate a traditional XA application with an XA transaction.

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: predicting, with use of one or more predictive model, subsequent future state data of a computing node having an associated working memory, wherein the subsequent future state data specifies that a certain transaction currently uninvoked will be invoked by the computing node; prior to the invoking of the certain transaction, proactively establishing one or more control parameter value for controlling the working memory in dependence on the future state data; invoking the certain transaction in response to receipt, by the computing node, of transaction invoking request data for invoking the certain transaction; and executing the certain transaction in dependence on at least one control parameter value of the one or more control parameter value for controlling the working memory.

An automated method is provided for use when replacing a currently operating data replication engine in a first system with a new data replication engine in the first system in a bidirectional data replication environment. The currently operating data replication engine in the first system and the new data replication engine in the first system replicates first database transactions from an audit trail of a first database in the first system to a second database in a second system. The new data replication engine in the first system generating a list of active database transactions in the first system, and sends the list of active database transactions to the new data replication engine in the second system as a first token. The new data replication engine in the second system receives the first token, fetches a transaction event from an audit trail of second database, and replicates the fetched transaction event to the new data replication engine of the first system when the fetched transaction event does not match a transaction on the list in the first token. These steps are repeated during operation of the new data replication engine of the second system. The currently operating data replication engine in the first system is stopped from replicating first database transactions when all of the transactions on the list of active database transactions that were generated have been replicated to the second system.

Techniques described herein relate to a method for managing telemetry services for composed information handling systems. The method includes obtaining, by a system control processor manager, a telemetry request associated with a composed information handling system from a user; in response to obtaining the telemetry request: identifying a transaction identifier associated with the telemetry request; identifying telemetry intent associated with the telemetry request; aggregating telemetry data based on the telemetry intent and a telemetry data map entry associated with the transaction identifier to obtain aggregated telemetry data; and providing the aggregated telemetry data to the user.

A system and method for optimization and validation of the machine learning tasks is proposed. The system allows for a graphical representation of the underlying parallel execution and allows the user the ability to determine the critical path of execution that will allow the system take advantage of processing capability of the available resources. The engine is capable of being aware of the machine learning task, its parallel execution constraints and the underlying heterogeneous infrastructure. This allows for optimal execution based on speed or reduced execution to comply with other constraints such as allowable time, costs, or other miscellaneous parameters. The disclosure also features a graphical user interface that displays the critical path on other instances besides computational workloads.

Embodiments described herein are generally directed to improving performance of a transactional API protocol by scheduling function calls based on data dependencies. In an example, a function associated with the transactional API is received that is to be carried out by an executer on behalf of an application. It is determined whether the function has a dependency on a value that is invalid. If so, execution of the function is delayed by causing a function ID of the function to be queued for a global memory reference associated with the value. After the value becomes valid, the function is caused to be executed by the executer. When the first function is determined to have no such dependency, the function may be immediately scheduled for execution by the executer without delay.

A system for selection and configuration of an automated robotic process includes a media input module structured to receive at least one functional media, a media analysis module structured to analyze the at least one functional media and identify an action parameter; and a solution selection module structured to select at least one component of an AI solution for use in an automated robotic process, wherein the selection is based, at least in part, on the action parameter.