AI Content Personalization and Cloud Media Processing for Modern Entertainment

The client encountered multiple technical challenges that affected their multimedia management and operational efficiency during live performances and content creation:

• Inefficient multimedia handling: Managing large volumes of audio and video files during live shows became cumbersome, resulting in performance bottlenecks and delays.
• Lack of format conversion capabilities: Their existing infrastructure could not seamlessly convert between various video and audio formats, leading to compatibility issues and manual conversions that slowed down production and affected overall cloud media processing performance.
• File retrieval issues: User-uploaded files were often missing from the designated S3 storage, disrupting workflows and preventing the team from accessing important user-generated content.

These challenges collectively hindered the client’s ability to deliver consistent, high-quality live experiences and fully utilize their digital content ecosystem.

Seaflux engineered a comprehensive cloud-based multimedia automation and processing solution that addressed all the key challenges while setting the foundation for AI content personalization.

1. Automated Multimedia Processing with FFmpeg

Seaflux developed a custom Linux user data script that installs and configures FFmpeg, a robust multimedia framework, during AWS instance launches.

• Using Packer, custom machine images were built for a consistent setup.
• Terraform was employed to automate deployments, ensuring scalability and reliability.

This enabled seamless multimedia conversions across formats, dramatically improving efficiency and reducing manual work through media workflow automation techniques.
 

2. Scheduling and Automation with Cron Jobs

To further streamline operations, Seaflux integrated cron, a time-based job scheduler, into the system.

• The scheduler automates conversion tasks at defined intervals.
• This eliminated manual interventions and ensured real-time readiness during live shows, enhancing media workflow automation and system consistency.
   

3. Improved S3 File Management and Retrieval

Seaflux refactored the scripts responsible for running cron jobs and configured them to operate continuously as daemons.

• This optimization ensured the smooth operation of AWS Simple Queue Service (SQS), enabling automatic and reliable object storage in S3.
• The new setup resolved all file retrieval issues, ensuring seamless access to user-generated content and uninterrupted multimedia processing efficiency.
   

4. AI-Powered Content Recommendations

Seaflux introduced AI-driven recommendation systems geared towards increasing user engagement, based on user preferences, viewing history, and ratings.

• In developing recommendation systems for customized content for each user, the company utilized both collaborative filtering models and content-based recommendation models to guide users to discover new and engaging content for them to engage with.

These AI content recommendation solutions allowed for smarter curation, driving higher audience retention and improving the personalization experience.

• 30% Increase in System Efficiency: The client's team could process significant amounts of audio and video much quicker and with fewer tech issues when automation was applied to cloud media processing. Their workflows were more seamless, reduced manual effort, and significantly increased overall efficiency.
• 25% Rise in Productivity: The client experienced a productivity increase across all departments as a result of simplifying workflows and developing trusted multimedia automation that freed up the team to focus on creative delivery and event content management rather than technical manual labour.
• 20% Reduction in Downtime: Seaflux adopted Infrastructure as Code (IaC) using Terraform to experience consistent deployments and minimize infrastructure issues, increasing the availability and experience of systems while boosting content viewing time by 9%.
• 20% Improvement in Multimedia Performance: By integrating FFmpeg, transcoding and rendering times were significantly decreased, following which buffering times were decreased and playback quality on devices was improved for a better user experience, elevating the client’s digital entertainment solutions overall.
• 13% Growth in Content Uploads: The improvements to multimedia cloud processing, media management, and user experience led to more creators sharing work on the platform, which in turn led to a 13% increase in the total number of stories uploaded.