LinkedIn AI Academy AI-100: 3 Scaling AI at LinkedIn

Explore the basics of AI applications and how they’re scaled at LinkedIn, in the third part of the LinkedIn AI Academy AI-100 series.

Introduction

• The LinkedIn AI Academy: Applying AI at scale
• Applications of AI at LinkedIn

1. Data Representation Applications

• LinkedIn Economic Graph
• Standardization part 1: Information extraction and entity resolution
• Standardization part 2: GNN applications
• Content understanding: Topic modeling and representing content as embeddings

2. Application 1: Building Professional Communities

• PYMK and follow recommendations
• Helping creators
• Optimizing feeds and notifications to nurture communities
• Ads for monetizing the feed

3. Application 2: Jobs Marketplace

• Job seeker: recommendations and notifications
• LinkedIn Learning recommendations
• Recruiter
• Jobs marketplace optimization

4. Industrialization

• Tech stack: Offline, online, and nearline components
• Anomaly detection
• A/B testing

5. Building Trusted AI Products Responsibly

• Spam classification
• Fake accounts
• Bias in AI models: Fairness
• Explainability

Conclusion

• Continuing on with learning AI