Not long ago, semantic technologies were considered a taboo, almost esoteric branch of data management that few people talked about or openly admitted to using.
Today, with the burgeoning popularity of knowledge graphs (ubiquitous in solutions spanning everything from data preparation to analytics) and the increasing ascendance of neuro-symbolic Artificial Intelligence (which couples AI’s knowledge foundation with its statistical foundation), semantic technologies are actively sought for a sundry of use cases across industries.
