From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is ...

Are you grappling with managing your test data in an automation framework? Here’s a fact: effective Test Data Management (TDM) can significantly improve your software testing process. This ...

Test data management (TDM) is a crucial practice for ensuring compliant data and providing uniformity to test data. In the same way testing environments and data models are continuously evolving, test ...

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Companies investing in generative AI find that testing and quality assurance are two of the most critical areas for improvement. Here are four strategies for testing LLMs embedded in generative AI ...

In the rush to build, test and deploy AI systems, businesses often lack the resources and time to fully validate their systems and ensure they’re bug-free. In a 2018 report, Gartner predicted that 85% ...

Testing and tuning SQL is an often-overlooked aspect of incorporating the database into your DevOps pipeline. It is important to be able to analyze and optimize SQL performance within your application ...

Stacks of statistics from many sources share a common theme - growth rates for digital information are extremely high and undeniable. A tsunami of e-information is fueling the engine of today's ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Demand for more and better data for test is driving a major standards effort, paving the way for one of most significant changes in data formats in years. There is good reason for this shift. Data ...

Air Force Staff Sgt. Renee Scherf, Detachment 23 curriculum engineer, MC-130H subject matter expert, dons virtual reality goggles. Members of Detachment 23’s Tech Training Transformation are part of ...