Patagonia is known for uncompromising quality in its products and its environmental mission. Unsurprisingly, this applies also to its data. In this session, Collin Stone will share how Patagonia's values shape its data quality philosophy: why reliable data isn't just a technical goal but a reflection of how the company operates. He'll walk through the team's approach to building trust in data across the organization. Collin will then be joined by Maayan Salom, CEO of Elementary, to show how Patagonia uses Elementary AI agents to put this philosophy into practice at scale. As a power user of the platform, Collin will demonstrate how AI agents autonomously investigate issues, configure monitors, enforce governance policies, and document context, with human oversight at every step. Learn how to enable people across skill levels to contribute to trusted data using an innovative, AI-native approach.

Takeaways:

• How a mission-driven company aligns data quality with its broader commitment to quality and values
• Patagonia's practical approach to building a data quality culture across the organization
• How AI agents can autonomously handle complex data quality and governance tasks proactively and with human supervision
• Strategies for enabling team members with different skill sets and technical levels to participate in data quality
• What an AI-native approach to data management looks like in practice

Speaker: Collin Stone, Data Quality Engineer, Patagonia

Collin Stone is a Data Quality Engineer at Patagonia with 10+ years of experience specializing in data automation, scalability, and governance. Known for building systems that keep data trustworthy at scale, his work sits at the crossroads of data quality engineering and practical business impact, making him a sharp voice on the challenges of modern data governance.

Speaker: Maayan Salom, CEO & Co-Founder, Elementary

Maayan Salom is the Co-Founder & CEO of Elementary. She has a deep background in data ecosystems, with expertise spanning analytics, data engineering, and data security. Before founding Elementary, Maayan led large teams of analysts and researchers and built data infrastructure for security research. She brings a rare combination of technical depth and product vision to the challenge of making data pipelines reliable and trustworthy at scale.