CommonThread AI bets on graph databases for enterprise

CommonThread AI CEO Tim Gosnell argues that fragmented enterprise data is the biggest barrier to AI value, and graph databases offer the most natural solution by mapping relationships between disconnected systems. Unlike relational or vector databases, graph databases bring relationship structures to the forefront, enabling go-to-market teams to operate from a shared data foundation. Gosnell believes AI will reshape business in ways companies cannot yet predict, much like e-commerce did. He emphasizes building larger context windows by continuously connecting and updating enterprise data, allowing organizations to adapt their strategy as economic and market conditions evolve.