AI is going to change the way software testing is done and how test projects are managed. It is poised to make the process highly efficient, optimized, and fast. While there are many features of test management that can be AI-enabled, which are the ones that will benefit the software testing teams the most?

In this web seminar, Punit Samtani from QMetry will be in conversation with Peter Wu, an experienced QA architecture and management professional, and leader of software quality at OneTrust. They will discuss the key features of test management that AI can turbocharge to reduce software quality cycles in order to help meet the need for speed.

This web seminar will cover key AI features for:

• Test Creation
• Execution
• CI/CD and code repository integrations
• Predictive and prescriptive reports covering test coverage and traceability

Peter will also share his experience with QMetry and his expectations from QMetry’s AI initiatives during this discussion.
Peter Wu
Director of Quality Engineering, OneTrust
Peter is a well-respected software quality professional who has led software quality initiatives and teams at many leading companies like OneTrust, Honeywell, Intradiem, and more. His experience across industry verticals, and a variety of software applications, is a strong body of knowledge that can benefit software quality professionals of varied backgrounds.
Punit Samtani
Sr. Product Manager, QMetry
Punit is a leading product management professional with 15+ years of experience in product management and customer service. He is passionate about creating meaningful products that solve problems. As a Senior Product Manager at QMetry, he defines the product roadmap, collect customer feedback, and works closely with engineering, sales, support & marketing to ensure that the products meet end-user expectations and outperform the competition. He has a degree in Information Technology and an MBA in Marketing.
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