Nordic Testing Days 2025

How can you test a system whose answer changes every time? In AI, data is the spec: the only reliable quality gauge is how the model performs against a living dataset. This talk shows how applying that principle transforms flashy demos into dependable products.

Key Takeaways:

• What happens if you never go beyond vibe-checking for quality
• How to meaningfully evaluate quality of AI systems
• How datasets can align everyone about what "good" means

This keynote looks at the fine art of translating technical information into human language without dumbing things down or setting off the BS detector (your own or corporate). Whether you’re explaining that usability testing is not a security test, penetration testing is not a sexual act, that "it works in Dev" isn’t the end of the story, or just trying to get a sentence in without an existential crisis, communication is everything.

Liisa Past will explore how tech professionals can adjust their style, level of detail, and delivery to fit their audience, be it customers, managers, or cross-functional teams. In the end, the goal is the same: get them to decide, believe, and act in your favour. She’ll dive into what makes communication purposeful and persuasive: knowing what your audience needs to hear, how they need to hear it, and how to keep their attention long enough to actually care.

Expect tips you can use, a war story or two (some may involve engineers hiding in the bathroom hoping the humans will leave), and a healthy dose of humour. One of her tattoos might be used as a legitimate prop.

To be announced

LIttle is known about the history of Neural Networks e.g. "Artificial Intelligence." The history goes back to around 1946 when researchers noticed that the mathematics involved with linear algebra wherein materials were stretched that the neighboring atoms were affected, was best modeled with a branch of Math known as tensors.

Key Takeaways:
The relationship between video games and artificial intelligence has been decades in the making. Video games, for example, have required the use of powerful GPUs, and without GPUs, AI wouldn't be what it is today.