AI is a powerful tool, and like with most powerful tools, there can be a temptation to use them for everything. So when should you be reaching for the AI toolbox, and when should you use a less exotic kit.
New approaches to AI-powered automation relieve many of the lingering pains that have impeded test automation for decades – for example, the desire to start testing before the UI is ready, the need to rewrite tests after each “back-end” app modernization, and the challenge of creating and executing test automation for virtual and remote applications.
Join David Colwell, industry expert, as he tackles some of these tricky topics. He will be diving into:
- When are some times AI has been the wrong solution
- When were you surprised by how effective AI was at solving a problem
- What are the marks of a good problem for AI
