Webinar

The Evolving QA Leader: Guiding Your Team Through the AI Revolution

28th August 2025
9:00 AM PDT

Panelists

Sireesha  Machiraju

Director

KPMG Global Services

Sireesha Machiraju is a seasoned Software Quality Assurance and Quality Engineering leader with over 22 years in IT. As a Director with expertise in GenAI, data analytics, and AI testing, she champions modern QA strategies—from explainable AI testing and real-time quality metrics to low-code automation—enabling rapid, trusted delivery in high-velocity environments. Passionate about driving responsible AI adoption, she bridges technical execution with stakeholder alignment and fosters quality-first cultures across teams. Sireesha translates innovative thinking into tangible impact, guiding organizations to scale AI responsibly and transform digital velocity.

Anshu Hotchandani

Group Product Manager

BrowserStack

A product leader with 10+ years of experience, currently contributing to Product Strategy & Monetisation at BrowserStack. With specialisation in building large scale B2B platforms and formulation of growth strategies to drive long term growth.

About the Event

In today’s dynamic technology landscape, the integration of Artificial Intelligence is no longer a futuristic concept but a present-day mandate for competitive advantage. For QA leaders, the challenge lies in discerning genuine, high-impact AI applications from the pervasive hype. This exclusive session offers a pragmatic, executive-level discussion on how AI is fundamentally reshaping the entire testing lifecycle, moving beyond superficial promises to deliver tangible, real-world value.

Join us for an unfiltered exchange with industry pioneers, designed specifically for QA Managers, Directors, and Decision-Makers. This isn’t about theoretical presentations; it’s about fostering a candid dialogue on the practical implications of AI, focusing on strategic vision and actionable implementation.

Key Takeaways:

AI for Testing vs. Testing AI: Understand the dual application of AI to both enhance testing and rigorously validate AI systems themselves.
Strategic ROI & Metrics: Focus on measurable returns and key metrics to justify AI investments in QA.
Evolving QA & Governance: Prepare for the shift in the QA professional’s role towards predictive functions and establish robust AI governance.

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