Explore the power of Imagen Live Connect AI, a cutting edge solution for generating rich video understanding using Microsoft Azure Content Understanding.


Integrated with Reuters Imagen’s industry‑first deployment of TAMS on Microsoft Azure, Live Connect AI uses an event‑driven architecture and scalable, containerised services to analyse each TAMS segment with large language models, orchestrated by Azure Video Understanding.

By tuning these models with fully managed system prompts and combining the outputs across segments, Azure Content Understanding generates rich, detailed summaries of video content, powering semantic search, AI‑assisted media clipping, dynamic personalisation, and more.


High Level Architecture:

The Reuters Imagen Live Connect AI solution uses a cloud‑native, event‑driven architecture in Microsoft Azure, combining containerised services and Azure Functions to orchestrate ingestion, processing, and integration workflows.

Azure Container Apps run the core application logic, with Azure Service Bus coordinating asynchronous jobs and events.

AI‑driven analysis and speech‑to‑text are delivered via Azure Foundry and foundation models such as GPT‑4o and GPT‑5, while all services operate within a secure virtual network with controlled outbound access, integrating directly with Reuters Imagen APIs for metadata, collections, events, and clipping.

Why Live Connect AI

Real Time Smart Clipping From Live:

Generate rich annotations as the stream arrives so rights holders can create clips faster from live, without waiting for full processing. Accelerating turnaround for highlight reels and licensing workflows.

Rich Video Understanding That Boosts Discovery:

Use LLM‑driven analysis to create richer metadata and summaries that improve search and discovery and enable personalised experiences, helping users find the right moments and stories faster.

Smart Content Retention And Lower Storage Cost:

Automatically identify low‑value or segments so teams can reduce cost base (e.g., by archiving targeted segments) while streamlining operational and admin workflows.

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