CommonThread AI targets connected, trusted data as the foundation for enterprise AI
As enterprise AI matures, connected and trusted data is becoming the foundation for real business value. Graph technologies are helping organizations turn fragmented information into actionable intelligence.
Fragmented enterprise data remains one of the biggest barriers to extracting value from AI. Most companies have data everywhere, completely fragmented, making graphs a natural fit because they are built to connect data and its relationships, according to Tim Gosnell (pictured), chief executive officer of CommonThread AI Inc.
“A lot of people spend their time pulling data out of one system and trying to understand it in another system. There’s no relationship there,” Gosnell said. “Graphs literally are built for this idea of connecting data and their relationships and representing that. For us, this is the most natural fit.”
Gosnell spoke with theCUBE’s John Furrier for an exclusive AI Luminaries interview series on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how graph technologies can create the foundation for enterprise AI and why trusted, connected data pipelines built on graph databases are essential for delivering reliable business outcomes. (* Disclosure below.)
