Jessica Talisman

Context layer. Semantic layer. Ontology. Knowledge graph. Context graph. GraphRAG. If you've been in an architecture meeting, you've heard all of these terms. If you've tried to figure out which one you need, you've probably given up. Are these different things? Buzzwords? A semantic layer in a trench coat? Or genuinely different approaches to the same problem: making AI understand your business? Join Atlan and industry experts who actually disagree with each other for the spiciest 20 minutes at Snowflake Summit. No slides. No consensus. Just strong opinions, real arguments and a chance to finally understand where these terms diverge — and whether any of them matter for your AI strategy.

Libraries have been used to collect, organize, and make human knowledge available for over 3,000 years. Over the years, practices such as collection development, curation, cataloging, serializing, recording and archiving have evolved as technology has advanced, keeping pace with the complexities of organizing for human and machine consumption.

Data architecture and information science are fundamental to all things digital. The HTTP protocol, underlying the internet itself, was designed to facility the organization and sharing of academic research.