Rajeev Srinivasan

To unlock transformative business outcomes, AI agents require a foundation of trusted data with rich enterprise context. Delivering success means bridging the knowledge, trust, and action gaps across a highly complex data landscape.

Agentic workflows, where AI agents handle tasks autonomously and boost enterprise productivity, are made possible with trustworthy, high-quality and well-governed data. This session explores how enterprise-grade data management with Informatica and AWS provides the foundation for reliable agentic workflows.

Many organizations want to go beyond analytics and machine learning and leverage generative AI to power a new wave of data-driven use cases. To do this, they need a cloud data management platform that can handle the emerging data patterns required to train and improve large language models.

Are you trying to modernize your data platform in the cloud? In your data management journey across data discovery, ingestion, security, governance, and democratization, are you doing the undifferentiated heavy lifting of building integrations at each phase?