Beyond Batch Pipelines: Building Real-Time AI Pipelines on the VAST AI OS

AI pipelines are typically built across multiple systems, introducing latency, complexity, and operational overhead. Batch-oriented workflows and disconnected components make it difficult to deliver real-time AI at scale.

In this session, we explore how the VAST AI OS enables end-to-end AI pipelines, from ingest to inference. We will demonstrate how the VAST DataEngine and InsightEngine can automate data processing and enable real-time AI workflows.

Here’s what you'll learn from the session:

• Why batch pipelines limit real-time AI

• Building end-to-end AI pipelines on a unified platform

• Automating workflows with DataEngine and InsightEngine

• Deep dive into real-time AI use cases, including Video Search and Document RAG

We will also show how VAST consolidates data pipelines, streaming, and AI execution into a single system, enabling continuous, real-time AI applications such as RAG and automated document processing.

Looking for more? This session is part of From Data to AI: VAST Analytics Explained, a free 8-part technical series on building modern analytics and AI systems on VAST AI OS. Register for more sessions here.