Google Cloud Platform Podcast

Priyanka Vergadia hops back into the host seat this week, joining Mark Mirchandani to talk to Marit Rødevand of Strise. Strise is an AI-driven enterprise company using knowledge graphs to gather and analyze massive amounts of information, depositing it into a web-based interface to help large clients such as banks solve data-driven problems. Strise’s web-based data platform is customizable, flexible, and capable of keeping up with the fast-paced world of technology so enterprise companies aren’t constantly putting time and resources into reworking old or building new software. To do this, Strise uses knowledge graphs rather than typical databases to create what Marit calls a future-proof data model. Marit explains knowledge graphs in detail, emphasizing that they can reduce training of machine models, allow new data to be input easily, and make analyzing unstructured data much easier. Knowledge graphs take data that would normally only make sense to humans and in effect translate it for computers. Using banki