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Details

As organizations move from AI experiments to production deployments, one question becomes increasingly important:
How do you build Data Agents that are reliable, scalable, and enterprise-ready?
Join us for an in-depth session where we'll explore how to build production-ready Data Agents using OpenClaw, a modern framework designed for complex data and analytics workflows.

## What You'll Learn

✅ Why real-world analytical problems require multi-agent collaboration rather than a single AI agent
✅ Key architectural patterns for building enterprise-grade Data Agents
✅ How semantic understanding improves data discovery and reasoning
✅ Implementing Human-in-the-Loop (HITL) validation for trustworthy AI outcomes
✅ Leveraging adaptive memory to create context-aware agent workflows
✅ Putting everything together into a production-ready architecture

Speaker: Chanpreet Singh
Senior Data & AI Architect at AWS

## Who Should Attend?

  • Data Engineers
  • Data Scientists
  • AI/ML Engineers
  • Solution Architects
  • Software Developers
  • Technical Leaders exploring Agentic AI

## Session Level

📊 Intermediate to Advanced (L300-L400)
Participants should have a basic understanding of AI/LLMs and data systems.

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