Data science isn’t the same as software engineering. The difference is context. In this livestream, we’ll unpack what “context” really means, why it matters for data science, and how it transforms how teams work. You’ll hear how leading companies use context-aware workflows to cut wasted effort, streamline collaboration, and move faster from idea to impact. We’ll also demo Zerve, the first AI development environment for data science, with context at its core.

Key takeaways:
- Why context is the missing ingredient in traditional AI coding assistants
- Real-world examples of context-aware workflows boosting productivity
- How context-aware AI agents keep hypotheses, data, and code aligned to avoid wasted cycles
- A live demo of Zerve’s context-first, agentic approach