Prerequisite: None
This session will include a moderated Q&A featuring questions from the live audience.
Delivering AI-ready outcomes depends on more than creating AI models. It also requires quality data management, standardised business and data rules, robust data pipelines, intelligent agents, and automation at scale.
In this backdrop, Prashanth Southekal will discuss how enterprises can design and operationalize data pipelines that reliably produce high-quality, governed, and observable data for AI systems. Southekal will examine how “self-healing” AI agents can automate data ingestion, transformation, validation, and monitoring, reduce manual effort, and improve resilience and speed. Through practical architectures and patterns, the session shows how to scale automation across teams and platforms, enabling trustworthy AI and sustained business impact.