About This Event
→ How AI helps QA understand what the business actually needs early on, even when business users are tough to get hold of
→ How AI creates test cases and keeps reworking them as requirements change, so the suite is always ready to go
→ How AI wraps up testing and validation inside the sprint, keeping quality in step with the release cadence
→ How AI points a growing regression suite at the parts this release truly puts at risk
→ How AI keeps validation and sign-off moving steadily, so approvals are ready when the date arrives
→ How AI feeds what each release reveals into the next, and how that changes the QA leader's focus
