AI Evolution. of Recommender Systems

## About the Session

## Recommender systems power today’s leading AI-driven platforms-from e-commerce to OTT. This session breaks down how these systems evolved from basic models to modern AI and deep learning-based approaches.

Title: AI Evolution of Recommender Systems: Foundations to Deep Dive
Date & Time: 24 April 2026 | 05:00 PM - 06:00 PM IST
Location:Online | Register Now
What You’ll Learn
• Fundamentals: collaborative vs content-based filtering
• Shift to AI & deep learning-driven recommendations
• Modern architectures & scalability
• Key challenges: cold start, sparsity, personalization
• Real-world use cases across industries
Who Should Attend
• Data Scientists, ML Engineers, AI Enthusiasts
• Data Engineers & Product Managers
• Anyone exploring AI-powered personalization
Speaker
Ritesh Ratti - AI/ML Expert
Ritesh Ratti is an AI & Data professional specializing in building scalable machine learning and recommendation systems for real-world applications.
With hands-on expertise in machine learning, deep learning, and data-driven architectures, he focuses on solving complex challenges around personalization and user behavior.
Known for his clear and practical approach, Ritesh simplifies advanced AI concepts into actionable insights—making them easy to understand and apply.
Don’t Miss Out
👉 Register now - it’s FREE!
Learn how to build scalable, AI-powered recommender systems with real-world relevance.

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