Three Case Studies that Showcase Why Every Semantic Layer Needs a Strategy

As the world of artificial intelligence and advanced data technologies continues to accelerate rapidly, so does the importance of knowledge and information management frameworks to support AI at scale. At Enterprise Knowledge (EK), we regularly see organizations struggling to navigate the path between pilot and expansion: they have proven AI use cases, but can’t connect their organizational knowledge or identify the right tools to expand safely and efficiently.  A Semantic Layer is a proven solution to help organizations apply structure, meaning, and context to standardize and connect their diverse knowledge assets. We use semantic models and technologies like taxonomies, ontologies, graph databases, and data catalogs. All of which is done with an underlying Semantic Layer Strategy.