Build an Enterprise-Ready Agentic Data Foundation

From AI Experimentation to Enterprise-Ready Agents

AI is moving rapidly from experimentation into production.

But as organisations deploy increasingly autonomous AI agents, a hard truth is emerging:

Most enterprise data architectures weren't built with autonomous agents in mind.

Agents need more than access to data. They need data that is trusted, governed, connected and rich in context - so they can act safely and reliably.

Join Information & AWS for a virtual executive roundtable bringing together practitioners who are navigating this shift firsthand.

Together we'll explore the challenges of building an AI-ready data foundation and what it really takes to prepare your enterprise for the agentic era.

Your AI Is Only as Ready as Your Data

Autonomous agents introduce a new level of complexity.

When AI can reason, make decisions and take action independently, weaknesses in the underlying data can quickly become busines-critical.

Poor data quality can lead to poor decisions.

Missing context can lead to incorrect actions.

Weak governance can create security and compliance risks.

For agentic AI, trusted data isn't optional. It's foundational.

Organisations need a data architecture that can provide agents with the quality, context, governance and access controls required to operate safely at enterprise scale. 

What We'll Explore

This interactive roundtable will bring together peers to discuss the practical challenges of building an enterprise-ready foundation for agentic AI.

1. Data Quality, Context & Governance - What happens when agents can't trust the data they're using?

Explore how gaps in data quality, context and governance become critical failure points when AI agents operate autonomously - and what organisations can do to address them before those risks reach production.

2. Connecting Enterprise Data to Agents - Can agents access enterprise data without compromising control?

Explore how MCP servers are emerging as an important architectural pattern for connecting enterprise data to agentic workflows while maintaining the security, governance and compliance controls organisations require.

3. Automating the Hardest Data Challenges - What happens when AI helps manage the data itself?

Discover how purpose-built data management agents and multi-agent collaboration frameworks can help automate complex data challenges, reduce manual effort and accelerate agentic AI deployments at scale.

From Data Foundation to Agentic Enterprise

Building an agentic enterprise requires more than deploying another AI model.

It requires the foundations to ensure every agent has access to the right data, the right context and the right controls.

Informatica and AWS are helping organisations bring together scalable AI infrastructure and an AI-ready data foundation - creating an environment where enterprises can move from AI experimentation to production with greater confidence.

The question is no longer whether your organisation will use AI agents. It's whether your data foundation is ready for them.

Join the Conversation

Build the foundation of your agentic enterprise.

Join Informatica and AWS for a virtual executive roundtable with practitioners navigating the move from AI experimentation to enterprise-scale agentic AI. 

Hear real-world perspectives

Share your challenges

Discover practical approaches to building trusted, governed and context-rich data foundations.