Over the past three years, the AI conversation has evolved from Generative AI to AI-ready data, and now to agentic AI and autonomous business. Yet one fundamental truth has remained constant: AI is only as effective as the data that grounds it.

As organizations move beyond chatbots to intelligent agents capable of orchestrating business processes, the need for well-organized, well-described enterprise data has never been greater.

Early Lessons from a Work in Progress

The Challenge

Your chance to visit the exhibits and network with fellow attendees.

Organizations are increasingly evaluating large language models (LLMs) for content classification and tagging. While LLMs offer flexibility and can accelerate semantic model development, they also introduce considerations around consistency, explainability, governance, and cost.

Libraries have cataloged the world's published record for over a century, but that description sits as text inside records rather than as identifiable things. We have spent the past several years rebuilding it as a knowledge graph. WorldCat Entities publishes descriptions of people, events, places, organizations, and works as persistent, resolvable URIs. The Dewey Decimal Classification is published on the same basis, which turns a familiar classification scheme into a machine-navigable hierarchy of human knowledge.

Context

The Getty, based in Los Angeles, is a unique cultural institution, combining an art museum, library, archive, foundation, and conservation science program. Shared across all of these is a deep commitment to creating, managing, and sharing knowledge of the visual arts—as well as building the cultural heritage field's capacity to work with this information.

What we have done