Systems | Development | Analytics | API | Testing

Data teams today manage hundreds of moving parts, from sources and syncs to transformations and warehouses, yet often find out something’s broken only after dashboards go blank or reports turn unreliable. When every second of data downtime affects critical decisions, visibility isn’t optional; it’s essential.

Observe just closed a $156 million Series C funding round, but that's only part of the story. In the last year, the company has tripled its revenue, doubled its enterprise customer base, and achieved an incredible 180% net revenue retention rate. Snowflake's Ryan Green sits down with Observe CEO Jeremy Burton for a deep dive into the strategy, technology, and leadership behind their growth. The conversation goes far beyond the funding announcement to explore the core of what makes Observe a leader in the shift to AI-powered observability.

In this video, Jason Mattis breaks down the fundamentals of AI observability, explaining its crucial role in managing and optimizing generative AI systems. Learn about the three core pillars—data monitoring, model explainability, and diagnostics—and how mastering these can help your organization ensure data privacy, maintain model accuracy, manage costs, and enhance overall AI performance.