Explore business processes and testing workflows to identify where AI and automation can make a real impact on test coverage, stability, and cycle time.
Develop practical recommendations and roadmaps; learn to define expected value, risks, and success metrics.
Collaborate on proof-of-concept (PoC) projects that showcase the business value of AI-enabled testing, such as predictive test selection, defect risk modeling, and intelligent test data generation.
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