Breaking down data silos: Connecting AI, vector search, CMS, CRM and analytics

AI, vector databases and large language models (LLMs) are transforming how we deliver digital experiences, but most organizations still depend on systems that are capable of working together but are often left disconnected. Without shared context, personalization fails, insights are missed and opportunities are lost.

In this session, we’ll explore how to bridge these systems using lightweight orchestration layers, vector search and open-source LLMs to create smarter, AI-ready digital experiences. You'll learn how to connect your existing stack, CMS, CRM, analytics, marketing automation tools and mobile using a modular, context-aware architecture. We'll walk through practical use cases, demos and real-world implementation strategies using open-source tools like Drupal, WordPress, Supabase, Ollama, vector databases (Qdrant, Weaviate and similar) and how vector embeddings work with a vector search.

Learning objectives:

• Understand how LLMs and vector search can personalize content and automate user flows across disconnected systems.
• Learn how to architect a context layer between CMS, CRM, analytics and mobile tools to prepare for AI-driven experiences.
• Discover how open-source tools (Supabase, Qdrant, Weaviate, Ollama) enable lightweight orchestration and reasoning without vendor lock-in.
• Understand how vector embeddings and multimodal search work.
• See real-world use cases driven by intent-based AI workflows.
• Walk away with a playbook to integrate AI and personalization into your stack without needing to rebuild it.