Talk Description
AI is everywhere in conversations about software testing and quality engineering. Expectations are high, but many teams still struggle to apply AI in meaningful and secure ways. This is often due to challenges such as data quality, privacy concerns, and the need to upskill staff, which means that adoption is uneven.
In this session, Ivan Filippov, Solutions Architect at Sembi, explores practical examples of where AI can already make a difference, looking at what’s hype, what’s reality and what's possible now. Ivan goes on to demonstrate how Xray is bringing AI into test design, showing two new features in action:
- AI-powered test generation – Create test cases from requirements with AI support while keeping human expertise in the loop.
- AI-enhanced Test Case Designer – Use generative AI to identify parameters and values for model-based testing, accelerating data-driven test design.
Along the way, Ivan will highlight how Xray balances efficiency with security, giving teams explicit control over data sharing and output quality.
You’ll leave with a clear picture of how AI can streamline test design, what challenges remain, and where Xray is heading next with AI features.
