6th December 2023
05:00 PM - 07:00 PM MST
AI teams face a constant tension: move quickly, but have enough evidence to trust what they’re shipping. Evaluations can help, but their usefulness depends on the examples we choose, the judgments we trust, and how clearly we connect results to decisions.
This session explores how to build reliable ground truth, combine LLM judges with human review, and translate evaluation findings into decisions to launch, iterate, or investigate further. Drawing on practical experience leading AI evaluation programs, I’ll discuss how to establish a baseline, handle disagreement, and decide when the evidence is sufficient to move forward, even when uncertainty remains.
Alekhya Guduri is a seasoned technology leader whose career sits at the intersection of operational excellence, engineering execution, and innovation. As Director of Engineering at Indeed, she focuses on building high-performing organizations that treat quality as a strategic advantage, not a final checkpoint. With deep experience scaling complex systems and leading cross-functional teams, Alekhya works at the forefront of shaping how AI and human judgment coexist within the modern software development lifecycle. She is a strong advocate for distributed governance, responsible AI practices, and the evolution of Quality Engineering into a strategic business partnership.
The QA toolbox is ever-growing—but which tools do what, and where do they fit in the testing lifecycle? In this session, Petronio will guide us through the major categories of QA tools, with examples from automation, performance, and test management.
Whether you’re starting out in QA or leading a quality team, this map will help you connect the dots between tools and strategy.
With over 20 years in tech, Petronio Bernardino began in Business Intelligence and now leads in QA. Beyond his role at Noesis, he trains teams, mentors testers, and shares content across YouTube and Instagram to uplift the QA community. His focus? Making quality approachable, practical, and impactful.
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