Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.
Testing places unique demands on AI. Errors carry real business risk, and fragile tests or slow updates can quickly erode trust in results. As a result, while momentum around AI in testing is strong, ...
Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.
Consulting firms are often tapped to support these transformations, for their teams can bring deep experience and creativity to help ensure tech stacks are aligned with the business’s operational ...
Most testing strategies collapse under the weight of modern software development demands. But speed requirements continue to increase while application complexity grows, which creates an impossible ...
Artificial intelligence (AI) is the latest disruptor in technology space which is making huge impact in all industry sectors ...
What if the very process meant to ensure your AI applications work flawlessly is actually holding you back? Manual testing, once the backbone of quality assurance, is now a bottleneck in the ...
Autosana Inc., a startup building an agentic artificial intelligence platform for mobile and web app quality assurance, said ...
Opkey , provider of the leading Cloud Application Lifecycle Management (CALM) platform for Oracle, Workday, Salesforce, Coupa and more, today announced the launch of Opkey Design Studio a ...
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