OpenGov and Snowflake build a knowledge graph to unify government data and AI
Government software is facing the same information management crisis as every other enterprise sector, and the knowledge graph is emerging as the architectural answer.
Nickhil Tekwani (pictured, second from left), senior manager of applied AI at OpenGov Inc., is building a company-wide knowledge graph on Snowflake Postgres as OpenGov’s answer to the information management crisis. The company serves 2,000 state and local government customers throughout the United States, or roughly 1 in 3 Americans, through public service and digital infrastructure offerings. OpenGov is using this knowledge graph to unify structured and unstructured data from hundreds of sources into a single context layer that both humans and AI agents can query in real time. The goal is to move from reactive customer support to proactive service delivery.
“When you think about the knowledge graph and having all of your data from hundreds of different data sources in one place, why knowledge graph becomes so interesting now is that, as an agent interacting at runtime, it needs to be performant,” Tekwani said. “Performant knowledge graphs, such as the one we’re building on Snowflake Postgres, is 100% one of the best ways to do that.”
