Discussion on Bridging Code and Quality: How AI is Making Testing Omnipresent | Testμ 2024

Hello!

As discussed in the session, best practices for integrating AI into testing include: using high-quality data for training, regularly updating models, fostering collaboration between teams, and employing a feedback loop to refine AI capabilities. Examples include using AI for predictive analytics in testing or leveraging automated visual testing tools.

I hope this provides the examples you were looking for!

Hi there!

As i attended this session, I would like to share that the tools discussed in the session Fiddler and WhyLabs are specifically designed to test AI models. They provide monitoring, validation, and debugging capabilities to ensure AI systems perform accurately and fairly throughout their lifecycle.

Hope this helps you explore AI testing tools!