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Development of a Scalable Generative AI Solution for Automated Content Processing and Analysis in Media
  1. case
  2. Development of a Scalable Generative AI Solution for Automated Content Processing and Analysis in Media

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Development of a Scalable Generative AI Solution for Automated Content Processing and Analysis in Media

temy.co
Media
Information technology

Challenges in Scalable and Cost-Effective Content Processing

The client faces unsustainable costs ($0.10/page) and excessive processing times (10 minutes/page) when manually handling 100M+ A4 pages with complex layouts, images, and metadata. Manual structuring of content limits scalability and prevents real-time analytics capabilities.

About the Client

500-person media company providing digital access to newspapers, magazines, and brochures since 2011

Key Objectives for AI-Driven Content Processing

  • Reduce processing costs by 80% through AI automation
  • Achieve 400x faster processing speed (100 pages in 23 minutes)
  • Automate extraction and structuring of text, images, and metadata
  • Enable searchable, device-optimized content delivery
  • Implement scalable solution for future growth

Core System Functionalities and Features

  • Zero-shot text and image extraction from complex layouts
  • Automated metadata tagging (titles, authors, dates)
  • Dynamic content formatting for multiple devices
  • Searchable database integration with filtering capabilities
  • Custom analytics dashboard for content insights

Technology Stack Requirements

Multimodal AI/LMM (Large Multimodal Models)
OpenAI GPT-4o integration
AWS infrastructure optimization
Zero-shot prompting techniques

System Integration Requirements

  • Content Management System (CMS)
  • Analytics dashboard platform
  • Cloud storage solutions
  • Metadata database

Non-Functional Requirements

  • Horizontal scalability for 100M+ pages
  • 99.9% processing accuracy SLA
  • Cost-optimized resource allocation
  • Real-time processing capabilities
  • Data security compliance (GDPR)

Expected Business Impact of AI-Driven Automation

Implementation of the AI solution is projected to save $8 million annually through 5x cost reduction per page, enable instant content searchability with 400x faster processing speeds, and provide scalable infrastructure supporting exponential growth without proportional cost increases. The system will deliver real-time analytics capabilities and automated content structuring for enhanced user experience.

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