Data Harmony, The Foundation for AI Value

Modern applications and agentic experiences demand fast, reliable access to data—but most enterprises are slowed down by silos, legacy systems, and brittle integrations. There is a lot of expectation from AI to solve enterprise challenges. However, AI without context delivers neither accuracy nor reliable outcomes. Enterprise context is stored in the form of precious data spread across systems. To design efficient Agentic experiences, enterprises need to design efficient pathways for AI to access and employ this data.

Join us on this webinar where we explore how to design and govern the enterprise knowledge stack — from vector databases to semantic graphs — that grounds AI decisions in fact, not fiction. Learn how to quantify data value, avoid context lock-in, and integrate privacy-preserving data pipelines.

Key Takeaways

• How data sensitivity and reference management shape value
• Live demo showcasing how to operationalize grounding data for RAG (Retrieval-Augmented Generation)
• Measuring the ROI of data governance

Further, you will see how to give AI agents full context—structured or unstructured, from any source—with OutSystems Data Fabric. Evolve as fast as AI by integrating with new models and data sources as they emerge, keeping your agents smarter without rework.

Whether you’re modernizing legacy systems with AI or building net-new agentic experiences, this webinar will show you how to unlock the full power of your AI investment by harmonizing data across your enterprise.

You will also learn how this will empower your AI agents to reason, respond, and deliver massive impact across your business.

If you’re looking to build better apps or agents faster—without fighting your data, this session is for you. Register Now!

Speakers