Webinar Abstract

Generative AI is rapidly changing how software teams build, test, analyze, and deliver products. Quality Engineering teams are no longer expected to only execute testing activities - they are increasingly becoming intelligence-driven contributors across the SDLC.

This webinar explores what it means to build an AI-first QE team and how organizations can evolve from traditional testing practices to AI-assisted engineering workflows. The session covers how AI is impacting requirement analysis, test design, automation, defect analysis, reporting, documentation, and decision-making across QE functions.

Participants will also understand how QE roles, skills, and workflows are evolving in the age of AI, along with practical considerations for adopting AI responsibly and effectively within engineering teams.

Key Takeaways

• Understand what an AI-first QE team looks like
• Learn how AI is transforming QE workflows and responsibilities
• Explore how QE roles and skills are evolving in the AI era
• Identify common mistakes organizations make during AI adoption
• Understand practical approaches for introducing AI into QE teams
• Learn the key capabilities future-ready QE professionals should build
• Gain a roadmap for AI adoption across QE and SDLC workflows

Website URL: https://tmsquare.co/

Map URL: https://maps.app.goo.gl/jffbxbbbVpjyB8LH9

Registration Link: https://us02web.zoom.us/meeting/register/W2HAK6VGRBe1vprVoWbZ0w