Trusted Agentic AI: Architecting Intelligent Systems with Reliable Data at Scale

AI agents are becoming increasingly autonomous, but how can we ensure they reason, act, and learn in a trustworthy manner? Trusted Agentic AI explores how to build AI-powered systems that effectively integrate knowledge, data, and models to drive reliable decision-making at scale with trust. This session will cover: -Trust, Governance, and Explainability – Ensuring agentic AI aligns with business objectives and regulatory standards -Optimizing Data Pipelines for Agentic AI – Ensuring high-quality data ingestion and retrieval for dynamic AI workflows -Scaling AI Models for Multi-Agent Systems – Leveraging foundation models and fine-tuning for complex interactions By attending, you’ll learn how to foundation of designing AI agents that not only scale but also maintain knowledge integrity, data reliability, and explainability. Whether you're an AI researcher, data scientist, or engineer, this session will provide foundational insights into building Trusted Agentic AI systems.