Agentic conversational video intelligence built on AWS
An AI agent on AWS lets you ask naturalālanguage questions about any video and get instant answers, cutting review time by ~80%.
Why Now
AWS released a guide showing how to build agentic conversational video intelligence using Bedrock, Rekognition, and Transcribe, after a media client saw big time savings.
What Happened
The solution uses a single Bedrockāpowered agent that calls Amazon Transcribe for speech, Rekognition for visual content, and caches results for followāups. Initial analysis of new videos takes 5ā10 minutes; answered queries on preāprocessed content return in under a second. A media client reported an 80% reduction in manual review hours on 200 multiāhour recordings.
Why It Matters
It removes the need to build separate ML pipelines for each query type, enabling rapid deployment of video search across security, media, and professional services. Faster insights can improve decisionāmaking and reduce labor costs.
The Limitation
The performance numbers come from a single clientās internal comparison and are not independently verified; initial analysis time varies with video length and chosen services.
What You Can Do
Try the GitHub repo to build your own agentic video search and benchmark it on your own video library.
Source
Read original sourceWhy we picked this
Core AI content: agentic video intelligence using Bedrock and other AWS services.