Deliver real-time, hyper-personalized experiences or fall behind. This workshop offers a focused, technical deep dive into building AI-powered personalization engines that adapt instantly to user behavior, context, and intent. Learn to integrate embeddings, vector search, and retrieval-augmented generation (RAG) into scalable pipelines that drive dynamic content, recommendations, and messaging—while ensuring privacy, high performance, and measurable results.

What You’ll Learn

• Architecting personalization pipelines using user embeddings, vector databases, and behavioral segmentation.
• Integrating large language models with customer data platforms (CDPs) to generate adaptive content and real-time recommendations.
• Implementing real-time feedback loops, A/B testing, and reinforcement learning to continuously optimize user experiences.
• Ensuring compliance with GDPR, CCPA, and ethical personalization principles through privacy-aware design.

Key Takeaways

• Architecture templates for building scalable personalization engines using LLMs, RAG, and vector search.
• Toolkits for user modeling, content generation, experimentation, and performance monitoring.

Who Should Attend

AI engineers, data scientists, product managers, personalization strategists, and marketing technologists working in:

• Retail & E-commerce
• Media & Streaming
• Digital Platforms
• Consumer Tech