A GenAI Platform with 90% accuracy and Fast Video Metadata Tagging

Background

In the rapidly evolving media industry landscape, the surge in digital media consumption has created an immense need for advanced data analytics and data assets to optimise media spends and content strategies. 

Our client an influential broadcast, research and audience measurement industry body in India, backed by broadcasters, advertisers, and media agencies, required a sophisticated system to tag and categorise news channel broadcasts. This was required for more effective media spend and content decisions. They wanted an intuitive solution that could automatically identify key elements such as news stories, sub-stories, and anchors, without depending on cloud infrastructure.

Tata Elxsi developed an on-premise GenAI platform, designed for efficient on-premise video tagging solution, that minimises cloud costs and is customisable for diverse use cases. These include automated content tagging for media archives, scene detection for video editors, ad placement optimization for advertising platforms, and personalized content recommendations for OTT services. Gen AI platform offers tailored solutions for industries needing fast, scalable, and cost-effective video metadata tagging.

Challenge

Tagging vast amounts of video content has always been a formidable task, requiring an efficient solution to provide actionable insights. Traditional manual tagging approaches were slow, error-prone, and struggled to keep up with the increasing volume of content, leading to delays and inefficiencies in data handling and insight generation.

Leveraging Tata Elxsi's GenAI platform, video metadata tagging is now automated, enabling faster, more accurate, and scalable tagging processes. Additionally, with the platform’s AI-powered video metadata tagging capabilities, models are frequently retrained with incremental data, ensuring up-to-date insights and maintaining high accuracy without the delays of manual retraining.