Enhancing Retail Performance with Semantic Layer As an Enabler for Data and Analytics Teams

In the fast-paced retail sector, organizations need to be able to quickly view store performance analytics in order to make crucial decisions. A leading global retail chain faced significant delays of up to 5-6 weeks when attempting to retrieve essential store performance metrics and create reports for executive leadership. This bottleneck was largely due to … Continue reading

Butterfly Effect: Taxonomy and Ontology as AI Catalysts in Enterprise Learning

Organizations understand the importance of leveraging AI to stay competitive in the evolving technological landscape, but do not always know how to get started. In their talk at Taxonomy Boot Camp 2024 in Washington, D.C., Tatiana Baquero Cakici and Sara … Continue reading

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