Next Gen AI Architecture implementation

n this session, I’ll walk you through the foundational AI service currently running in production.

We’ll take a deep dive into the architecture—starting from scratch—and explore all the key components required to build and run an end-to-end AI application.

This includes:

• Q&A and document upload functionality
• Data ingestion from external sources and enterprise systems
• Application development pipeline
• Infrastructure setup
• End-to-end data flow and orchestration

You’ll gain a clear understanding of how each layer works together to support a robust, scalable GenAI solution.

Building an AI application is not a straightforward path—but with the right blueprint and architecture, it's absolutely achievable. This session is designed to help you see that journey clearly.