Dell Products Inc.

Hewlett Packard Enterprise Development LP

Deepak Panambur

Sridhar Kunchipudi

Syama Sundararao Nadiminti

Pavan Sridhar

Rohith Panambur

Pavan Sridhar Murthy

Some examples relate to firmware updates. In an example, a first core system determines firmware updates to be installed on the first core system and auxiliary systems of a data center. The first core system sends firmware update package generation instructions to a cloud infrastructure comprising data center firmware updates. The first core system downloads a firmware update package from the cloud infrastructure. The first core system updates firmware of the first core system, based on one or more firmware updates in the firmware update package. The first core system receives a request for a specific firmware update from an auxiliary system. Based on the request received from the auxiliary system, the first core system identifies the specific firmware update for the auxiliary system from the firmware update package. The first core system provides the specific firmware update to the auxiliary system.

Firmware updates using a first core system and a backup core system

Systems and methods provided for a software test automation platform including an artificial intelligence (AO/machine learning (ML) test analyzer. The AI/ML test analyzer can be a computer device operating with the software testing automation platform that is programmed to obtain run-time data from executing multiple software test cases for a software workload; obtain log data from the one or more test logs, relating to previous executions of the tests cases for the software workload. The AI/ML test analyzer can then analyze the log data and the run-time data by applying ML/AI tools, concurrently with executing the test cases, for recognizing patterns associated with the executed tests cases over a period of time, and automatically predicting an optimized set of test cases and analytics related to execution of the test cases for the software workload.

System and methods for amalgamation of artificial intelligence (AI) and machine learning (ML) in test creation, execution, and prediction

A system and method of enabling access to remote information handling systems is disclosed. In one form, a method of enabling an initialization of an information handling system is disclosed. The method can include receiving a request to initialize a remote information handling system, and determining an access information operable to enable an initialization sequence of the remote information handling system. The access information can be configured to enable an initialization of the remote information handling system. The method can also include communicating the access information via a network to the remote information system.

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Karnataka, India

Deepak Panambur