AI-Driven Quality Engineering Practices | Niranjani Manoharan | TestMu 2025
In this session from TestMu Conference 2025, 𝐍𝐢𝐫𝐚𝐧𝐣𝐚𝐧𝐢 𝐌𝐚𝐧𝐨𝐡𝐚𝐫𝐚𝐧, Engineering Manager, Quality at Amazon, shares her expertise on AI-driven quality engineering practices. She walks us through how combining serverless functions with machine learning can create an intelligent test failure analysis pipeline.
Learn how custom ML models and efficient data pipelines can make your testing smarter and more effective, along with practical insights for startups on building scalable solutions.
Moving from reactive to predictive quality engineering using AI-driven insights.
How AI-powered analysis identifies root causes and predicts potential impact on services.
Implementing event-driven architectures for real-time failure detection and analysis.
Leveraging ML techniques like TF vectorization and DB scan for error message analysis.
Testμ
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