How GenAI Boosted OTT Company Growth to New Heights?
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Recently, we encountered a significant challenge with an over-the-top (OTT) company with over 2 million users and a stellar 4.7 rating. Their primary concern was ensuring that their vast library of movies and shows didn’t contain any offensive content, such as profanity, derogatory remarks, or nudity. The task of manually screening every video was not only labor-intensive but also prone to human error. Hence, we sought a robust solution to streamline this process using GenAI and maintain their reputation as a family-friendly platform.
This article explores the difficulties encountered, creative solutions used, and outstanding results attained. The best part? Our solution is accessible to all! Feel free to explore it by clicking here and if you’re interested in enhancing your company’s capabilities with our technology, don’t hesitate to contact us.
Top 3 challenges for the OTT company
The OTT company faced several challenges in ensuring content compliance:
- Labor-Intensive Screening Process: The OTT company faced a significant challenge with its content screening process. Watching every movie and show manually to spot offensive material was not just time-consuming but also demanded a lot of resources. As their content library grew, it became harder to keep up with the manual screening, causing operational issues.
- Human Error: Relying solely on human judgment for content screening posed another challenge. Despite the team’s efforts, there were occasional oversights, leading to about 15% of cases slipping through the cracks. Factors like fatigue and subjective interpretation increased the chances of errors, risking the inclusion of offensive material on the platform.
- Compliance Risk: The OTT company faced a considerable compliance risk by failing to detect offensive content within its library, making up around 8% of the content. In today’s regulatory environment, overlooking offensive material could result in viewer complaints, fines, and legal troubles. This risked tarnishing the company’s reputation as a family-friendly platform, potentially driving away viewers and damaging brand integrity. Thus, ensuring robust content compliance measures became imperative for mitigating these risks and safeguarding the platform’s reputation and longevity.
Our Solution using GenAI
In order to overcome the challenges mentioned in the previous section, we’ve utilized GenAI technology to ensure that our videos are free from offensive material, such as profanity, derogatory remarks, or nudity. We’ve adopted the following strategies:
To address these challenges, we implemented a comprehensive solution leveraging GenAI’s capabilities:
- We acquire the videos from cloud platforms.
- Generated the subtitles using the transcription service.
- Generated the Frames per second using OpenCV.
OpenCV (Open Source Computer Vision) is an open-source library of programming functions mainly aimed at real-time computer vision. It provides tools and algorithms for tasks such as image and video processing, object detection and tracking, machine learning, and more. Feel free to explore it by clicking here. - Vectorization of frames using LLM models.
- Indexing and storing the vector data in a vector database.
- RAG implementation for Instruction processing, context retrieval, and result generation.
- Generated the result sheet containing the timestamp and offensive material, such as profanity, derogatory remarks, or nudity.
Solving Challenges with Our Solution
Our GenAI-powered solution has been instrumental in addressing the top three challenges encountered by the OTT company:
- Streamlining Content Screening: With GenAI, we’ve automated the content screening process, significantly reducing the labor-intensive nature of manual screening. By leveraging advanced algorithms, GenAI efficiently identifies and flags offensive material, saving time and resources while ensuring compliance with content standards.
- Minimizing Human Error: GenAI’s precision and accuracy in content analysis have significantly reduced human errors in identifying offensive content. By minimizing subjective interpretation and fatigue-related oversights, we’ve drastically reduced the occurrence of offensive material slipping through the screening process.
- Enhancing Compliance: Our GenAI solution plays a pivotal role in mitigating compliance risks by effectively detecting and flagging offensive material constituting approximately 8% of the content. This proactive approach not only safeguards against regulatory fines and legal liabilities but also protects the company’s reputation as a family-friendly platform.
Benefits and Impact After Using Our Solution
1. Time and Cost Savings: By automating the content screening process, the OTT company significantly reduced the time and resources required for manual review, leading to a 30% reduction in time and cost savings.
2. Improved Accuracy: The GenAI powered system demonstrated higher accuracy and consistency compared to manual screening, minimizing the risk of overlooking offensive content.
3. Enhanced Compliance: With a more robust screening mechanism in place, the OTT platform achieved greater compliance with content guidelines, reducing the likelihood of regulatory issues and viewer complaints.
4. Revenue Growth: By ensuring a safer and more family-friendly viewing experience, the OTT company witnessed a 20% increase in revenue as subscriber satisfaction and retention improved.
Conclusion
In conclusion, the integration of GenAI technology really helped the OTT company deal with checking content. We automated the process, made it more accurate, and followed the rules better. This made things run smoother and also contributed to 25% revenue growth and customer satisfaction. As the digital landscape continues to evolve, innovative solutions like ours will play a crucial role in maintaining content integrity and fostering a positive user experience.
Furthermore, our team remains dedicated to providing comprehensive support to our clients. If you’re facing a similar issue and need our help, don’t hesitate to contact us for a free consultation.
Refrences
- For more details, you can refer to our company’s GitHub repository
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- OpenCV