Rajesh Sura

Head of Data Engineering and Analytics
Amazon
Rajesh Sura is a distinguished data and analytics leader with over 16 years of experience architecting enterprise-scale platforms, AI systems, and BI solutions. Based in Seattle, Washington, Rajesh is currently Head of Data Engineering and Analytics at Amazon and is recognized for his ability to transform complex challenges into scalable, AI-powered ecosystems that drive decision-making, operational efficiency, and customer-centric innovation. With deep expertise in data engineering, machine learning integration, natural language analytics, and metadata-driven governance, Rajesh has led high-impact programs that have generated billions in business value. His work spans multiple industries and includes designing platforms that support thousands of global users and billions of data points in real time. Rajesh is also a passionate mentor, speaker, and thought leader in the global data community. 

Rajesh Sura’s Session

10:30 a.m.–11:15 a.m. PT — Thursday, September 18, 2025

Beyond the Bot: Deploying Enterprise-Ready AI Agents that Deliver Business Results

AI agents are evolving fast, but many businesses still confuse them with simple chatbots. In this engaging and practical session, Rajesh Sura, a seasoned leader in AI-driven analytics at Amazon, will help you reframe how you think about AI agents. He’ll share how leading enterprises are deploying AI agents not just to answer questions, but to drive meaningful action, automate complex workflows, and unlock real business value.

This session is designed for business leaders, strategists, and innovation teams looking to cut through the noise and understand what it really takes to go from experimentation to scalable adoption. From retail to operations, you’ll hear real-world stories, explore frameworks for evaluating impact, and walk away with actionable steps to bring intelligent AI agents into your own organization — responsibly and effectively.

Key Takeaways

  • Understand the difference between chatbots and intelligent AI agents in an enterprise context
  • Learn how to identify the right business processes for AI agent automation
  • See real-world examples of AI agents in customer service, sales enablement, and internal operations
  • Gain a framework for evaluating success metrics and ROI for AI agent deployments
  • Get actionable steps to move from experimentation to enterprise scale, while ensuring governance and cross-functional alignment
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