Mr. Rajesh Sura

Agentic AI Systems at Scale: Building Sustainable Data Infrastructure for the Intelligent Future

Abstract:

 

Abstract:
As we move toward a future shaped by autonomous intelligence, the need for scalable, sustainable, and self-adaptive infrastructure is more critical than ever. Agentic AI systems—AI agents capable of reasoning, acting, and learning independently—are redefining how enterprises approach automation, analytics, and decision-making at scale. However, the backbone of these systems lies not just in algorithms but in the design of resilient, sustainable data infrastructure.

This talk explores how to architect enterprise-grade data platforms that support agentic AI in a way that is resource-conscious, future-proof, and operationally intelligent. Drawing on real-world examples, I will examine how next-generation data engineering patterns—such as event-driven architectures, metadata-aware compute layers, and vector-enabled storage—enable AI agents to operate autonomously while optimizing for cost, latency, and carbon efficiency.

We’ll discuss critical considerations around infrastructure modularity, federated governance, observability, and AI trust layers that allow these systems to scale responsibly. The session will offer a strategic framework for technologists and leaders to align innovation in AI with environmental sustainability and long-term system adaptability.

Profile:

Rajesh Sura is a distingusihed data and AI leader with over 16 years of experience designing and leading enterprise-scale data platforms, advanced analytics systems, and AI-powered decision intelligence solutions. As the Head of Data Engineering and Analytics at Amazon North America Stores, he spearheads foundational infrastructure powering strategy, automation, and reporting for thousands of users across Amazon’s global ecosystem.

Rajesh’s career journey reflects deep expertise across data architecture, cloud computing, artificial intelligence, business intelligence, and external data integration. From orchestrating cloud-native BI transformations to launching NLP-driven analytics and governance frameworks, he has consistently delivered scalable solutions that unlock value and ensure compliance across complex enterprise environments.

A Senior Member of IEEE, Fellow at multiple global scientific societies, Rajesh is also a Board Advisor at the AI Frontier Network and the IA Forum. He serves as a global mentor on ADPList, regularly peer-reviews for top-tier journals including Springer and Elsevier, and has judged several international hackathons and technology leadership awards. As an independent researcher, keynote speaker, and thought leader, he contributes extensively to the global data community through publications, speaking engagements, and advisory roles.

Rajesh holds a strong commitment to mentorship, ethical innovation, and building intelligent analytics systems that are not only powerful, but responsible. Whether leading enterprise-scale transformations or guiding the next generation of talent, Rajesh brings clarity, depth, and a passion for advancing the future of data and analytics.