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Development of Scalable AI-Powered Content Moderation Platform with Enhanced Data Pipelines and Analytics Dashboard
  1. case
  2. Development of Scalable AI-Powered Content Moderation Platform with Enhanced Data Pipelines and Analytics Dashboard

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Development of Scalable AI-Powered Content Moderation Platform with Enhanced Data Pipelines and Analytics Dashboard

geniusee.com
Information technology
Media
Business services

Challenges in Scalable Content Moderation and Data Processing

Existing systems struggle with processing massive volumes of unstructured data from diverse sources, maintaining data quality, and providing actionable insights through a user-friendly interface. High costs associated with data storage and processing scalability hinder operational efficiency.

About the Client

AI startup focused on developing systems to detect misleading online information, recently acquired by a PR services leader

Goals for Enhanced Content Moderation System

  • Implement scalable AI/ML infrastructure for real-time content analysis
  • Reduce per-record processing costs through serverless architecture migration
  • Develop robust integrations with third-party content platforms
  • Enhance data pipeline efficiency for multi-source ingestion and processing
  • Create intuitive analytics dashboard for content moderation and fact-checking workflows

Core System Functionalities and Features

  • Automated content quality analysis using ML/NLP algorithms
  • Narrative monitoring through clustering of similar opinions
  • Interactive dashboard with moderation analytics and user management tools
  • Third-party platform integrations for content ingestion
  • Scalable data pipeline architecture handling 3M+ records

Technology Stack Requirements

Machine Learning (TensorFlow/PyTorch)
Natural Language Processing (BERT/SBERT)
Kubeflow for ML pipelines
Serverless architecture (AWS Lambda/Azure Functions)
Data warehousing (Snowflake/BigQuery)

External System Integrations

  • Social media platform APIs (Twitter, Facebook)
  • News content APIs (Reuters, Associated Press)
  • Forum scraping interfaces
  • Cloud storage services (AWS S3, Google Cloud Storage)

System Performance Criteria

  • Horizontal scalability to handle 10x data volume growth
  • Sub-second response times for dashboard queries
  • 99.9% system availability with failover mechanisms
  • GDPR-compliant data processing pipelines
  • Real-time data processing latency under 500ms

Expected Business Impact of Enhanced Content Moderation

Enables processing of 3 million+ records per company with 40% reduced infrastructure costs, while improving fact-checking accuracy through enhanced data pipeline quality. The intuitive dashboard will streamline content moderation workflows, supporting faster decision-making for PR professionals and reducing manual verification efforts by 60%.

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