Atlan

Context is moving faster than any other layer of the AI stack. Formats, protocols, and standards are converging in real time, and what you build this quarter has to survive the next one. The open-interchange session at Context Conference is where that future gets argued: which open formats context is converging on, which objects become portable, and how your organization keeps its context open and owned while everything around it changes. Bob Muglia, Josh Klahr (Apache Ossie), and Prajakta Damle (Open Knowledge Format, Google), at one table. Virtual, October 28, free.

Which context format will your architecture still support in three years? Open specs for context are being written now, Apache Ossie and Open Knowledge Format among them. Whatever you standardize on will outlive the agents built on it. At Context Conference, Bob Muglia, the former Snowflake CEO who called for an open context interchange, meets Josh Klahr of Apache Ossie and Prajakta Damle, who pioneers Open Knowledge Format at Google. They work out which objects must become portable and which specs to standardize on. Virtual, October 28. Join us live →

How many of your AI platforms now keep their own copy of how your business works? Each learns your definitions and rules in its own format. Switch, and you teach the next one from scratch. On October 28, the people writing the open formats meet at one table: Dipti Borkar (Microsoft IQ & OneLake), Prajakta Damle (Open Knowledge Format, Google), Josh Klahr (Apache Ossie), Amandeep Khurana (Anthropic), and former Snowflake CEO Bob Muglia. Registrants also get The AI Context Gap, new MIT Technology Review Insights research, before it's public. Virtual, October 28. Join us live →

Every MCP demo works. The agent lists tables, pulls a schema, answers the question. Then you point it at the real estate: dozens of schemas, three definitions of revenue, description columns that have been blank for years. The demo didn't lie. It just didn't know anything. On September 10, Prukalpa Sankar shows why MCP demos diverge in production, the infrastructure that fixes it, and a first look at context from unstructured sources, in beta.

Governed metrics, certified queries, evals, learning loops. Where should your team start, and which will agents actually use? For over a year, Atlan's forward-deployed engineers and the data teams at Workday and DocuSign tested and benchmarked each piece, then ranked them. On October 28, Joe DosSantos, VP of Enterprise Data & Analytics at Workday, and Piyush Bhargava, Sr. Director of Global Data & Analytics at DocuSign, share that ranking with Austin Kronz. The team open-sources its playbook the same day. Virtual, October 28. Join us live →

Ontology, semantic layer, knowledge graph, context graph. They all play different roles in context, and the confusion between them is real. Austin Kronz has spent the past year separating these concepts with people like Emil Eifrem (founder of Neo4j), Jaya Gupta (author of the viral context graphs essay), and Prukalpa Sankar (co-founder of Atlan). A former Gartner Magic Quadrant co-author, he joins Context Conference to finally settle what a context platform is, and what it isn't. Virtual, October 28, free. Join us live →