What is an AI Recommendation Engine?
Download the virtual assistant guide to learn more → https://ibm.biz/BdaqZr Learn more about AI solutions → https://ibm.biz/BdaqZs Recommendation engines are a crucial part of our online experience, suggesting products, videos, and content that we might like. But have you ever wondered how they work? In this video, Martin Keen takes a deep dive into the world of recommendation engines, exploring the intersection of machine learning and personalization. From collaborative filtering to content-based filtering, to the benefits & challenges of AI recommendation engines, discover how machine learning powers the personalized experiences we love. AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdaqZi
The 7 Skills You Need to Build AI Agents
Recsys Keynote: Improving Recommendation Systems & Search in the Age of LLMs - Eugene Yan, Amazon
The Axioms of Software Engineering and System Design
Lecture 41 — Overview of Recommender Systems | Stanford University
The Strange Math That Predicts (Almost) Anything
Don't waste 2026 learning the wrong tech skills (Meta Engineer's Take)
What is a Vector Database? Powering Semantic Search & AI Applications
They Lied to You About AI (This Study Proves It)
The Limits of AI: Generative AI, NLP, AGI, & What’s Next?
How does Netflix recommend movies? Matrix Factorization
RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models
Building AI Agent Systems and Scaling Challenges in Agentic AI
AI buys robot and car, does exactly what experts warned.
Spotify ML Question - Design a Recommendation System (Full mock interview)
Inside Anthropic, the $965 Billion AI Juggernaut | The Circuit
The Math Behind Recommender Systems
Is RAG Still Needed? Choosing the Best Approach for LLMs
Don't learn AI Agents without Learning these Fundamentals
How Spotify’s AI-Driven Recommendations Work | WSJ Tech Behind
