2025 Keynote Speakers
Collective risk management
Joshua Kerievsky
In his talk, "Collective Risk Management" (a tongue-in-cheek reference to the agile concept of "collective code ownership"), Joshua explores how teams can move beyond siloed decision-making to a more collaborative, holistic approach.
Monsters & Magicians: Testing the Illusions of Generative AI
Ben Simo
As investors pour money into this rapidly evolving field and society grapples with its impact on our lives and livelihoods, software testers are left with a daunting question: How do we test software that produces inexplicable fuzzy outputs?
2025 Invited Speakers
Managing a Complicated Testing Project
Kristin Jackvony
Have you ever been asked to test a complicated software project and felt overwhelmed, with no idea how to start? In this presentation we'll look at the steps you should follow when dealing with large systems.
The Ethics of Quality
Gwen Iarussi
As quality professionals, we don’t just ensure software works; we have the power to shape how technology impacts real people. But in a world driven by speed, automation, and AI, are we asking the right questions? This session will challenge you to think beyond the pass/fail mindset and dive into the ethical dilemmas shaping our industry.
Shifting Out: a Crucial Dimension to Left and Right
Jon Bach
You've heard of 'Shift-Left'—the DevOps principle of moving testing closer to Development with programmatic approaches like Build/Code/Plan/Test pipelines. The other DevOps dimension is 'Shift-Right'—moving testing closer to Production with programmatic approaches like Release/Deploy/Operate/Monitor. But there's a third dimension to these that few people talk about—Shifting OUT—getting perspective so you know how best to marshal your Left and Right resources.
QA For Data Science
Leslie Brooks
How is QA for Data Science Different from QA for Traditional Applications? Quality Assurance in traditional application development focuses on predictable behavior, functional correctness, and well-understood user flows. But what happens when your “application” is a machine learning model, your output is a probability, and your requirements are full of ambiguity?
Navigating the Career Labyrinth: From Intern to Director
Jeff Sing
In this candid and insightful talk, Jeff Sing walks us through his professional journey from entry-level intern to Director of Engineering at a high-growth tech company. Whether you're just starting out or considering your next big leap, this talk will equip you with practical frameworks, reflective questions, and a healthy dose of reality to help chart your own course through the career maze.
Special Guests
