Aswathnarayan Muthukishnan Kirubakaran

Title of the Talk:
Building Intelligent Data Systems that Can Be Trusted

Abstract
Data systems are evolving from passive pipelines into intelligent systems capable of decision-making, coordination, and automation. As these systems gain autonomy, ensuring correctness, transparency, and governance becomes essential.

This keynote explores how intelligent data systems can be designed with strong foundations in data quality, validation, monitoring, and policy-aware execution. It builds on advances in data engineering, Retrieval-Augmented Generation, and agentic architectures to show how modern platforms can support both intelligence and reliability.

The talk highlights practical challenges such as data inconsistency, system drift, and failure handling, and presents approaches to address them through structured design and governance. It emphasizes that scalable AI systems require disciplined data and system foundations that ensure trust in real-world applications.

Bio:
Aswathnarayan Muthukrishnan Kirubakaran is a Senior Data Engineer, AI researcher, and IEEE Senior Member specializing in intelligent data systems and scalable infrastructure. He has worked on designing and building data-driven platforms that support AI-enabled decision-making and automation. His work focuses on combining data engineering principles with AI to create systems that are reliable, transparent, and scalable. He has contributed to research in areas such as Retrieval-Augmented Generation and distributed AI systems and actively participates in the academic community as a reviewer and speaker. His interests include improving trust in AI systems through better data design, validation, and governance. He aims to develop systems where intelligence and reliability work together in real-world applications.