A Semantic Layer to Enable Risk Management at a Multinational Bank

Enterprise Knowledge is working with a multinational bank to enable their risk-assessing processes by using semantics and connected data. Heavily regulated financial services firms require comprehensive and complex risk management. This requires employees to thoroughly account for risk and report it in detail to regulators. Continue reading

A Semantic Layer Approach to Enterprise Knowledge Management and Information Findability

Within an organization or enterprise, multiple knowledge organization systems tend to be siloed and used for different purposes in different systems (the website, the intranet, technical documentation publishing, the product catalog, customer support articles, training materials, etc.). If this disparate … Continue reading

Enterprise Knowledge Graphs: The Importance of Semantics

Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “Enterprise Knowledge Graphs: The Importance of Semantics” on May 9, 2024, at the annual Data Summit in Boston.  In her presentation, Hedden describes the components of an enterprise knowledge graph and provides … Continue reading

Synergizing Knowledge Graphs with Large Language Models (LLMs): A Path to Semantically Enhanced Intelligence

Why do Large Language Models (LLMs) sometimes produce unexpected or inaccurate results, often referred to as ‘hallucinations’? What challenges do organizations face when attempting to align the capabilities of LLMs with their specific business contexts? These pressing questions underscore the … Continue reading

The Top 3 Ways to Implement a Semantic Layer

Over the last decade, we have seen some of the most exciting innovations emerge within the enterprise knowledge and data management spaces. Those innovations with real staying power have proven to drive business outcomes and prioritize intuitive user engagement. Within … Continue reading

Measuring the Value of your Semantic Layer: KPIs for Taxonomies, Ontologies, and Knowledge Graphs

Utilizing semantic applications in your business, such as an enterprise taxonomy, ontology, or knowledge graph, can increase efficiency, reduce cognitive load, and improve cohesion across the enterprise, among other benefits. While these benefits are extremely valuable they can be difficult … Continue reading