Join Simba Khadder, Founder of Featureform, for a practical session on Agentic Enrichment, the missing layer of infrastructure that allows AI agents to access real-time, internal business data. As AI agents and large language models quickly change how we interact with software, it's becoming clear that agents are limited by the data they can access, not their intelligence.
In this webinar, you'll learn how Agentic Enrichment addresses this gap by giving agents secure, real-time access to essential data from systems like Postgres, Redis, and event streams. This makes it possible for agents to take meaningful actions and explain decisions in real-time, something that current systems often struggle with.
Key takeaways include:
- Why agents need better access to internal data to unlock their full potential
- The three key components that make up agentic enrichment: structured data, low-latency delivery, and strong data governance
- How Featureform helps enable this data access with its technology, making agents more useful and powerful in production environments
- Real-world examples of how agentic enrichment can improve workflows in AI systems
If you're working with AI agents or large language models, this webinar will give you a clearer understanding of how to enhance your system with secure, real-time data access.
There will also be the opportunity for Q&A at the end of the session.
What is Featureform:
Featureform is a platform that enables secure, real-time access to internal business data for AI agents, solving the critical gap in current AI workflows. By providing structured data, low-latency delivery, and strong governance, Featureform powers Agentic Enrichment, allowing agents to interact with enterprise data securely and effectively. This infrastructure layer ensures that agents can perform meaningful actions, explain decisions in real-time, and support production-grade workflows, transforming agents from passive interfaces into active participants in your AI systems.
Check out our open-source Feature Store here:
https://github.com/featureform/featureform
