01
About
Industry
Artificial Intelligence, Marketing, Social Media, Entertainment, Inventory Management
Product Type
Enterprice
Services
Artificial Intelligence
Web App Development
Software Testing
UI/UX Design
DevOps
02
Objectives
Automating tagging of digital assets to boost efficiency, cut costs, and ensure consistent taxonomy across the organization.
03
Challenges
1. Cost Reductions: The increasing volume of digital assets awaiting ingestion into the DAM necessitates an efficient tagging process. Manual tagging is resource-intensiveand costly.
2. Efficiency Increase: Content managers currently spend significant time on manual tagging, which detracts from their ability to focus on strategic tasks. Automating this process will free up valuable time.
3. Consistency in Taxonomy: A unified tagging system is essential to ensure all digital assets are categorized consistently, facilitating better asset retrieval and management.
04
Solutions
1. Research & Development: Researched different AI models using different strategies, including Prompt Chaining, Prompt Engineering, and Fine-Tuning with Custom Datasets and Image Descriptions.
2. Proof of Concept (POC): Developed a POC utilizing OpenAI GPT-4o Mini integrated with advanced prompt engineering techniques for image tagging.
3. Results: Achieved an overall accuracy of over 80% in generating tags for image tagging, significantly enhancing the tagging process.
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