Artificial intelligence introduces new opportunities for software testing allowing quality engineers to optimize their efforts with greater speed than was possible before. Traditional quality engineering approaches cannot address the full spectrum of behaviors and performance that AI-driven testing can support. Applying AI across the various phases of the quality engineering life cycle saves effort, improves accuracy and reduces cycle time.
In this webinar, we will look to explore how to select, implement, and reap benefits by leveraging Artificial intelligence to improve quality engineering.

November 19 @ 10:50
10:50 — 11:30 (40′)

Mhahesh Muraleedhara