QA Trends and Concerns - How to Stand Out Through Test Automation and Scrum
summary
AI-generated pipelines at Zebra convert Jira epics and docs into a single feature document extractor then to CSV test cases and into automated Robot Framework scripts, plus a no-code automation builder and an engineering insights dashboard tied to Jira via Jenkins. An ambient dictation product Zebra Companion ships and investors fund it after pilot results show nurses save 4–10 minutes per patient. Scrum tweaks lift sprint completion from ~20% to 57%. Claims include end-to-end tooling, reusability, and measurable time and throughput gains.
AI-written summary · about
chapters (9)
- 0:00Introduction
- 3:17Zebra Technologies AI solutions
- 8:34AI challenges and data
- 9:40AI in test automation
- 15:50AI tools and Scrum at Zebra
- 25:28Scrum transformation
- 31:20AI-driven QA concerns
- 34:52Healthcare experiment
- 40:08Key takeaways and closing thoughts
related talks
45mSpyros Katopodis: How You Should Be Using Agile and AI For Testing And Quality Assurance
30mBuilding a Billion-Dollar Healthcare Product at Zebra Technologies
25mHarnessing the Power of Automation Testing and RPA
21mMindful Automation Testing Software Builds and Streamlining Processes
47mPanel Discussion: QE Strategic Shift: What's Changing with AI, Automation, and Speed?
41mAI Automation for High-Performing Teams
16mEngineering Intelligence & Developer Productivity in the AI Era
44mThe Future is Today: Leveraging AI in Software Testing
