There is an intense pressure from management to adopt AI everywhere, but not every promise translates into real results. Too often, teams adopt AI tools only to end up with more noise than value. This session cuts through the hype to focus on where AI genuinely moves the needle for QA. We’ll explore practical applications that save time, improve coverage, and strengthen decision-making while avoiding the traps of vague strategies and inflated expectations.
Key takeaways:
- Differentiate hype from reality: Learn how to spot inflated AI claims and focus on where the technology can provide real testing value.
- Identify high-impact use cases: Discover practical ways AI can enhance efficiency, coverage, and decision-making in QA.
- Build an adoption strategy: Gain a framework for introducing AI into your testing process that complements your team’s skills and delivers measurable results.
