Watch this panel discussion, where experts ๐๐ก๐ซ๐ข๐ฌ ๐๐๐ง๐ฎ๐๐ฅ, SVP, Global Head of Quality Engineering, Coforge, ๐๐ข๐ซ๐๐ง ๐๐๐ฒ๐๐๐ก๐จ๐ญ๐ข, VP-Engineering, Publicis Sapient, ๐๐๐ง๐ข๐ฌ๐ก ๐๐จ๐ญ๐๐๐ซ, Head of Strategy, Integration, Incubation & Industrialization, LTIMindtree, ๐๐ข๐๐ก๐ ๐๐ ๐ซ๐๐ฐ๐๐ฅ, Digital Quality Assurance Head at APAC, GlobalLogic, ๐๐ฎ๐๐๐ ๐๐๐ฆ๐๐ฌ๐ฐ๐๐ฆ๐ฒ, Managing Director, Accenture, and ๐๐ข๐ค๐ฎ๐ฅ ๐๐ฎ๐ฉ๐ญ๐, CTO at Qualitest explore the crucial role of quality engineering in AI development, deployment, and maintenance.
They cover the importance of quality assurance, ethical considerations, and testing frameworks for managing risks and ensuring AI reliability. The discussion also touches on methods, challenges, and best practices in dealing with AI technologies.
35+ Sessions
60+ Speakers
20,000+ Attendees
2000+ Minutes
Live Q&As
What to prioritize in AI development?
Why does rigorous testing matter?
How to ensure ethical AI?
Key insights on AI challenges
Testฮผ
Testฮผ (TestMu) is more than just a virtual conference. It is an immersive experience designed by the community, for the community! A 3-day gathering that unites testers, developers, community leaders, industry experts, and ecosystem partners in the testing and QA field, all converging under a single virtual roof. ๐