Philip Miller

9:45 a.m.–10:30 a.m. PT — Thursday, September 18, 2025

Inside the AI Agent: Core Components and Enterprise Impact

Explore the foundational components of AI agents and the critical guardrails that enable their secure, scalable use in enterprise settings. This session offers a high-level view tailored for business leaders, focusing on how organizations can build trust in AI systems through responsible design and governance.

ondemand2 —

Building a Trusted Enterprise Data Foundation for Your AI Agents

As AI agents become embedded across customer service, operations, and knowledge work, business leaders face a critical question: How do we ensure these systems make decisions based on facts, not fiction?

In this session, we’ll show how leading enterprises are solving that challenge by pairing a flexible, multi-model data platform with Retrieval-Augmented Generation (RAG) architectures. You’ll learn how to connect your proprietary data, across formats and silos, to large language models in a secure, governed, and cost-effective way.

This isn’t AI theory. You’ll walk away with real-world examples and a clear framework for how to move from isolated AI pilots to scalable, trusted AI agents that drive business value.

Key takeaways:

• Reduce AI Risk: How to prevent AI hallucinations by grounding agents in real-time, trustworthy enterprise data.
• Accelerate Time-to-Value: See how a unified data foundation enables faster, safer rollout of GenAI use cases across teams.
• Lower Costs, Maximise ROI: Learn how semantic enrichment and smart data retrieval cut compute costs and boost relevance.
• Future-Proof Your Strategy: Why multi-model and knowledge-centric architectures are essential for long-term AI competitiveness.
• Build Trust and Stay Compliant: Ensure your AI outputs are verifiable, explainable, and audit-ready, by design.