Challenges
Challenges of limited internal AI resources.
Yellow Media's client needed to ensure that all uploaded videos on their new social network complied with strict content policies. They faced the challenge of processing a high volume of videos for prohibited content quickly and accurately, dealing with latency issues, managing service limitations, and implementing an effective monitoring system. Additionally, Yellow Media lacked a robust in-house AI team to tackle these complex tasks.
Client
Yellow Media
Project
AI and ML
Partners
Amazinum
About the client
Advanced digital solutions.
Yellow Media supports customers across the entire Enterprise Technology Stack with custom industry solutions. They develop and modernize IT products, optimize data architectures, and ensures everything is secure, scalable, and well-organized.
Solution
Cost efficiency with outstaffing.
An automated AI solution was developed using an asynchronous API for video preprocessing, leveraging AWS Rekognition for content moderation. Videos were managed through a Redis queue system, ensuring efficient processing and effective handling of service limitations while maintaining scalability. Hiring an outstaffed AI team provided the necessary expertise without the long-term commitment and overhead of building an in-house team.
Result
Fully automated content restrictions for video.
The automated solution significantly improved efficiency, reducing the time required for video reviews and allowing the platform to handle higher upload volumes. The scalable system maintained performance during peak times, minimized latency, and provided reliable content moderation. Yellow Media plans to further enhance the system with advanced AI models and real-time analytics for even better performance.
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