Sponsored by: Tecton | Full RAG: A Modern Architecture for Hyperpersonalization
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Breakout |
TRACK | Data Science and Machine Learning |
INDUSTRY | Enterprise Technology |
TECHNOLOGIES | AI/Machine Learning, GenAI/LLMs, MLFlow |
SKILL LEVEL | Beginner |
DURATION | 40 min |
In the world of AI, personalization isn’t just nice to have — it's a must-have. Mike Del Balso, CEO and Co-Founder of Tecton, presents "Full RAG," an architectural approach that enhances AI recommendation systems by incorporating comprehensive contextual insights and real-time user data. This approach, rooted in the Retrieval-Augmented Generation (RAG) architecture, aims to transcend traditional models' limitations by integrating batch and streaming data, enabling a deeper layer of personalization. We will emphasize the potential of Full RAG but also address the technical challenges in implementing such a system, including data management and model training complexities. Attendees will leave with a clear understanding of the importance of hyperpersonalization in AI, insights into the Full RAG architecture's capabilities for enhancing personalization, and strategies for managing the complex data integrations required for deploying advanced AI solutions effectively.
SESSION SPEAKERS
Mike Del Balso
/Co-founder + CEO
Tecton