Domain-Centric GenAI: Serving Smart Context with Autonomous Data Products
Most enterprise GenAI systems fail because they give LLMs too much context, but autonomous data products that serve smart, domain-scoped context actually make your AI more effective.
Join Jörg Schad, Head of Engineering at Nextdata, for "Domain-Centric GenAI: Serving Smart Context with Autonomous Data Products" on October 16, 2025 at 8:30 AM PT, where he'll explain how autonomous data products enable domain-centric architectures that solve the cost and performance problems killing your production deployments..
GenAI projects burn budgets and underperform when teams dump entire data lakes into RAG systems or expose dozens of tools to a single agent. Autonomous data products provide the standardized interface for serving tightly scoped, domain-specific context. The event will cover:
Domain-Driven Data for RAG: Why flooding models with entire data lakes causes token bloat and hallucinations—and how domain-scoped context keeps LLMs focused and efficient
Domain-Aware Tools: Why exposing dozens of tools dilutes agent decision-making—and how modular, task-scoped tool access improves reasoning
Domain-Specific Models: Why one-size-fits-all models underperform in specialized contexts—and how domain-aligned fine-tuning improves accuracy
Key takeaways:
Building RAG systems with autonomous data products that deliver better retrieval relevance, reduced hallucinations, and lower token costs through domain-scoped context
Architecting multi-domain AI systems where autonomous data products dynamically route requests to domain-specific stacks (curated data, tailored tools, custom models) based on user intent
Achieving production-ready GenAI with stronger governance, lower inference costs, and higher user confidence through domain-centric context management
This session is for data engineers and platform owners building production ML and AI systems.