In the rapidly evolving landscape of software development, Artificial Intelligence (AI) is transforming the role of testing from a traditional function to a strategic discipline. AI in testing not only enhances efficiency and accuracy but also empowers testers to adopt a proactive approach to quality assurance.

This session will explore AI as a two-sided coin: an opportunity for learning new paradigms and an imperative for re-skilling. Attendees will gain insights into practical use cases of AI in testing, including automation, predictive analytics, and visual testing, which can be leveraged today and in the near future.

By embracing AI, testers can position themselves as vital contributors to the software development lifecycle, ensuring high-quality products that meet user expectations and business goals.