AI-Powered Testing Support: Leverage AI-powered testing tools (e.g., test case generation, visual regression detection, anomaly detection) to increase test coverage and reduce manual effort.
QA for AI Modules: Collaborate with AI/data teams to validate AI outputs (e.g., recommendation engines, predictive analytics, LLM features) by designing test cases for accuracy, bias detection, edge cases, and failure modes.
BI Dashboard Validation: Verify data accuracy and consistency in Power BI dashboards by comparing against source data, backend queries, and expected business logic.
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