Systems | Development | Analytics | API | Testing

In addition to its existing text embedding models, you can now use both Google’s Gemini and open-source (OSS) models directly within BigQuery.

Every QA engineer has felt the crunch: tighter deadlines, growing complexity, and the same old expectation that everything must work perfectly by release day. It’s not an easy balance. That’s why AI in software testing has become such a hot topic. It promises faster test case generation, smarter insights, and support with tasks that usually eat up hours of time. But let’s be clear: AI isn’t here to replace testers.

IT Professionals Day is our opportunity to celebrate the people who keep the digital world running - the ones who make sure data is secure, reliable, and ready to power innovation. At Qlik, we know IT professionals aren’t just solving problems, they’re enabling possibilities.

Modern enterprises are embracing multi-cloud strategies to avoid vendor lock-in, optimize costs, and ensure resilience. Yet managing API infrastructure (which also happens to be AI infrastructure) across multiple cloud providers while maintaining performance and simplicity remains a significant challenge.

When AI projects derail, it’s rarely because the model was weak. More often, failure comes from using MCP in the wrong way—forcing it to act as a universal API, data pipeline, or real-time engine instead of what it truly is: an orchestration and intelligence layer. Recently, Nate B.

The AI mandate is real. Boards and executives are demanding that software organizations move faster, embrace AI, and deliver without breaking trust. Development velocity is accelerating at machine speed, but testing has not kept up. The question every QA leader faces today is simple: will quality keep pace, or will it become the bottleneck? This is where the shift from automation to AI-native testing comes in.

It’s been nearly three years since generative AI burst onto the scene, promising to revolutionize decision-making and operations for enterprises. The early days were all about visions and roadmaps; but now, boards and CFOs are demanding real ROI and measurable business impact from their investments.