Knowledge graphs are a big trend nowadays, but they aren’t as widely known in the data science world. Why? asks Neo4j’s Maya Natarajan.
Using a knowledge graph, we can start to reason about the underlying data and use it for complex decision-making. While not every knowledge graph is built the same way, we’re finding that every graph data science project starts with a knowledge graph. That rings true since Gartner predicts that by 2025, graph technologies will be used in 80% of data and analytics innovations, up from 10% this year.