Shifting the conversation from "test automation" to "business outcomes" by focusing on measurable efficiency and cost reduction.
May 7, 2026 11:00 AM Eastern Time (US and Canada)
Moving beyond coverage metrics: How to measure the true ROI of AI in testing, and the economic case for driving the cost of testing toward zero at scale.
Using AI/ML to analyze code complexity and assign risk scores to new changes, allowing you to prioritize and select only the most critical tests.
Deep dive into self-healing scripts: how AI algorithms detect UI/DOM changes and automatically update element locators to eliminate maintenance toil.
Integrating AI as an intelligent quality gate within the pipeline, using anomaly detection to autonomously halt releases before production issues occur.
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A deep dive into how teams are currently deploying AI for test generation, data synthesis, and early-stage defect detection. Watch the on-demand recording to get caught up before our next session!