Business Scenario
AI-Enabled Metadata Tagging for Automated Content Workflows
90%
Reliability in Automating Ads
Problem Statement
Traditional content tagging processes for ads, promos, and programs are highly manual, inconsistent, and dependent on human intervention. This creates accuracy gaps in ad/promo transitions, naming conventions, and segment identification. Additional challenges such as video availability, retries, and bitrate issues further impact efficiency. To overcome these hurdles, an AI-enabled metadata tagging system was introduced to deliver real-time, zero-touch automation. The system enhances accuracy, scalability, and operational efficiency while reducing the dependency on human-driven processes.
Solution
The solution leverages multi-level AI engines to automate tagging across ads, promos, programs, and stories. Features include auto-registration and seamless brand master integration, along with EPG-based program identification to ensure accuracy. Built on a scalable infrastructure comprising load balancers, API services, and compute clusters, the system supports high concurrency across multiple channels. Importantly, zero-touch automation liminates manual effort, ensuring seamless in-content ad capture and transition management, while continuously improving model precision and automation.
Impact
The AI-enabled metadata tagging solution achieved 90% reliability in automating ad, promo, program, and story tagging. It enabled zero-touch automation, eliminating manual processes and ensuring real-time scalability. With deployment across 600+ concurrent channels, the system delivers operational efficiency and accuracy at scale. Continuous improvements in AI models further enhance precision, significantly reducing human dependency and enabling broadcasters to achieve consistent, high-quality metadata tagging across content workflows.
Services Rendered
- Problem Definition and Requirement Analysis
- AI Model Development
- Data Preparation & Augmentation
- Integration with Refrigerator Hardware
- MLOps Implementation
- Testing & Deployment
- Post-Launch Support
