From Pixels to Decisions: Building Real-Time Video Intelligence on the VAST AI OS

When video powers public safety, smart cities, manufacturing, and critical infrastructure, every second of delay matters. At the scale of thousands of live camera streams, the challenge isn't capturing video, it's continuously ingesting, processing, retrieving, and reasoning over it in real time.

Siemens AG’s customers recognize these challenges, which is why the market demands innovative, state-of-the-art AI solutions. To meet this demand, business units including Siemens Mobility GmbH and Siemens Smart Infrastructure are actively striving to deliver next-generation capabilities that address their customers' critical needs."

In this webinar, we'll show how the VAST AI Operating System provides a unified foundation for enterprise video intelligence. Learn how event-driven pipelines automate video processing, vectorization, and indexing as data arrives, enabling AI applications and agents to perform low-latency multimodal retrieval and reasoning across massive video datasets. See how VAST eliminates fragmented AI pipelines by unifying storage, vector search, retrieval, and AI processing on a single platform built to scale.

We'll conclude with a live demonstration of an end-to-end video intelligence pipeline running on the VAST AI OS.

Key Takeaways:

• Why enterprise video intelligence requires a unified data and AI architecture rather than fragmented AI pipelines

• How the VAST AI OS automates video ingestion, chunking, vectorization, indexing, and retrieval with event-driven processing

• How native vector search and multimodal retrieval enable AI applications and agents to reason over live and historical video

• How VAST scales real-time video intelligence from thousands to tens of thousands of live streams on a single platform