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What separates great QA teams from the rest? The ability to identify risks early and mitigate them before they become production incidents.
But what if AI could help you do this faster, smarter, and more proactively?

In this hands-on webinar, Naveen will walk you through how AI can transform the way teams approach risk identification and mitigation across the entire SDLC, from requirements analysis to production monitoring.

What You'll Learn:
• How to use AI to identify risks early in requirements, user stories, and design documents
• AI-powered test risk analysis, predicting which areas of your application are most likely to break
• Using AI tools for impact analysis when code changes are made
• Automating risk-based test prioritization with AI
Real-world examples: How AI flags gaps that manual reviews often miss
• Building a risk mitigation framework with AI as your co-pilot
Live demo: AI-assisted risk identification in action

Related topics

Webinars
Risk Management
Agile Testing
QA Tools and Practices
Test Automation

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