Why context graphs are the missing layer for AI

The podcast explores the evolving role of systems of record in the age of AI agents, questioning whether traditional systems will become obsolete or adapt. Jamin Ball draws parallels to the travel industry's shift from GDS systems to online travel agencies, suggesting a similar disruption. Animesh Koratana introduces the concept of a "context graph" to capture decision-making processes across organizations, emphasizing the need for agents to have authority and access to comprehensive data. The discussion covers the potential for AI to reinvent business processes, particularly in go-to-market and development, and the importance of building trust and observability in AI agents. The speakers debate whether context graphs will be centralized or verticalized and consider the future role of data infrastructure companies like Snowflake and Databricks.