Title of the Talk:

The Data Beneath the Intelligence: Building the Foundation for Trustworthy, Autonomous AI

Abstract:

Artificial Intelligence is increasingly being deployed in high-stakes industries such as healthcare, finance, and critical infrastructure. However, many real-world failures in AI systems are not caused by flawed algorithms, but by issues in the underlying data—ranging from poor quality and inconsistencies to security vulnerabilities and lack of transparency.

This keynote explores why the foundation of trustworthy AI begins at the data layer. Drawing from large-scale enterprise experience supporting over 25,000 production databases globally, the session highlights three key challenges behind most AI failures today: poor data quality, weak data security, and limited auditability. It also examines how modern autonomous data platforms address these challenges through automation, built-in security, and unified data governance.

The talk further presents real-world examples across industries and outlines a practical framework for building reliable and accountable AI systems. It concludes with key considerations for organizations and policymakers to ensure that AI is deployed responsibly, with strong foundations that prioritize data integrity, security, and transparency.

Profile:

Siva Prasad Nandi is a Director of Software Development at Oracle America Inc., where he leads large-scale cloud database and enterprise platform engineering initiatives supporting mission-critical workloads across global organizations. His work focuses on database architecture, cloud infrastructure, and building highly scalable, secure, and resilient data systems that power critical business operations.

With over 18 years of experience in enterprise technology, Siva has played a key role in designing and operating platforms that manage over 25,000+ production databases globally, serving leading banks, healthcare institutions, and government organizations. He has led multiple initiatives that significantly improved operational efficiency, reduced downtime, and enhanced system reliability across large-scale distributed environments.

He is a Senior Member of the IEEE Computer Society and a Distinguished Fellow of the Soft Computing Research Society (SCRS), recognizing his contributions to enterprise systems and platform engineering. Siva is actively engaged in advancing best practices in data reliability, security, and scalable infrastructure, with a strong emphasis on building dependable, auditable, and production-ready systems.