Quick Overview
YouTube (Google) uses AI for automated content moderation, detecting and removing policy-violating videos at scale. AI also powers personalized recommendations and analyzes viewer sentiment to improve engagement.
YouTube (Google)
Company Size
~7,000 employees (YouTube)
Revenue Range
$30B+ annual revenue (YouTube)
Primary Challenge
Moderating massive video volumes and personalizing recommendations
Key Metrics
\- Faster content moderation\- Improved user safety\- Increased viewer engagement
The Problem
Manual moderation was impossible at YouTube’s scale
The Solution
Developed AI and deep learning models for video analysis, moderation, and recommendation
Results
\- Safer platform\- Higher engagement\- Scalable content management
Details
Industry
Media & Entertainment
Departments
Customer Support & Service
Data & Analytics
Use Cases
Campaign Management
Tags
NLP
Deep Learning
Recommendation Engine
Real-Time Processing
SaaS
Scalability
AI Tools Used
No items found.
Sources
https://blog.youtube/inside-youtube/our-approach-to-responsible-ai-innovation/https://www.byteplus.com/en/topic/562694
More Case Studies
See All
How Snowdrop Uses Google Cloud AI and Geospatial Data to Improve Financial Transaction Data Accuracy and Matching
Finance & Banking
How Khan Academy’s Khanmigo AI Tutor Enhances Personalized Learning with GPT-4
Education & EdTech
How a Global Software Development Project Used an AI-Powered Chatbot to Enhance Communication and Delivery
Technology & SaaS
How Netflix Uses AI to Personalize Content Recommendations and Optimize Originals
Media & Entertainment
How SEB Wealth Management Uses Google Cloud AI to Enhance Client Interactions and Efficiency
Finance & Banking
How RE/MAX Uses AI to Personalize Property Recommendations and Improve Buyer Satisfaction
Real Estate