Balancing AI Innovations with Fundamental QA Principles

The pressure to adopt new technologies like AI and automation without a strong foundation in core QA principles is fraught with risk.  Jumping into AI without understanding how to best leverage AI within QA for business success can cause quality issues. But lagging behind your competitors when it comes to utilizing AI can result in loss of market share. Join Igor Dorovskikh as he guides QA leaders on creating a balanced approach that integrates the use of AI capabilities within essential QA fundamentals. You'll learn how to define and implement these core principles, identify the pitfalls of neglecting them, and assess your team's readiness for automation. The presentation will also cover best practices for strategically implementing AI tools and building successful hybrid QA models that leverage both traditional practices and modern advancements. By the end, you'll walk away with actionable strategies to ensure your QA team is effectively utilizing both cutting-edge technologies and fundamental principles to achieve optimal results.