Real-World Context Engineering - AI Agents in the Enterprise

Tuesday, March 31, 2026 at 3:00 PM ET

AI applications need live, continuously updated context. This session examines how enterprises are enabling AI systems with real-time, trustworthy data to improve accuracy, reliability, and token-efficiency. Using examples inspired by production deployments, we’ll show how teams build scalable, context graphs that evolve with changing data and business needs.

Key Takeaways:

• Why live context is critical for reliable AI agents
• How to move beyond siloed operational data to continuously updated AI context
• Architectural patterns for integrating live data into AI systems
• Best practices for maintaining data freshness, trust, and flexibility as models evolve

Whether you’re building AI agents today or exploring how to power them with data, this webinar will show you how to bring live context into your AI systems.

Speakers:

• Nate Stewart, CEO at Materialize