Data aware Open Context Engine for AI Agents

Enterprises are deploying autonomous AI agents at scale. These agents connect to operational systems through the Model Context Protocol (MCP), an open standard now governed by the Linux Foundation with various types of data sources. However, this does not ensure the "real understanding" of the data to be inferred by the AI Agents accurately. SODA Contexture is an open source project from SODA Foundation (a sub-foundation under LF) that focuses on building actionable context from raw operational data. It brings OCS (Open Context Specification) to define the data-aware-context for various data sources and types. It provides a method of providing dependencies and relations. OCS based connectors for different data sources ensure improved context and enhanced accuracy in the inference and decision-making by AI Agents and LLM Models.

The session will be driven by a demo where we will showcase the use case, preparation of OCS, building data-aware-context and how it provides intuitive inferences.

We will also share the next enhancements, and it will provide the community members with an opportunity to collaborate on SODA Contexture project.