Panel Discussion: QE Strategic Shift: What's Changing with AI, Automation, and Speed?
summary
Teams report concrete changes: adoption of Microsoft Copilot inside Visual Studio Code to generate test data and review PRs, continued Selenium + Java suites, and new AI platforms like Otify and KAI that provide self-healing tests and reduce regression runtime by about 40% faster execution. Organizations add smart test selection, auto-retry, and KPIs (percent valid AI‑generated tests, ROI per LLM cost, bug leakage) and keep human-led risk analysis and exploratory testing.
AI-written summary · about
chapters (6)
- 0:00Welcome
- 4:58AI testing architecture
- 17:54AI-driven QE metrics
- 24:15Future automation for AI
- 33:13AI for quality engineers
- 46:26Closing
related talks
47mPanel Discussion: Who Tests the Machines? QE Leaders on Quality in the Age of AI-Written Code
01h 05mPanel Discussion - The Future of Testing: Impact of AI in Quality Assurance and Beyond
49mPanel Discussion: QE at Enterprise Scale - What Will a QE Org Look Like in 2027?
32mFast, Smart, and Fragile: Rethinking Testing Leadership in the Age of AI
29mQA vs AI: Friends or Foes?
01h 04mImpact of AI on #SoftwareTesting: Are Testers Ready? 🔮
49mPanel Discussion: Mission-Critical Priorities in Quality Engineering: The Leader's Playbook
40mFrom Bugs to Brilliance: Leveraging AI in Modern Software Testing
