Blog Archives
What are the Different Types of Graphs? The Most Common Misconceptions and Understanding Their Applications
Over 80% of enterprise data remains unstructured, and with the rise of artificial intelligence (AI), traditional relational databases are becoming less effective at capturing the richness of organizational knowledge assets, institutional knowledge, and interconnected data. In modern enterprise data solutions, … Continue reading
The Resource Description Framework (RDF)
Simply defined, a knowledge graph is a network of entities, their attributes, and how they’re related to one another. While these networks can be captured and stored in a variety of formats, most implementations leverage a graph based tool or database. However, within the world of graph databases, there are a variety of syntaxes or … Continue reading
Multimodal Graph RAG (mmGraphRAG): Incorporating Vision in Search and Analytics
David Hughes, Principal Data & AI Solution Architect at Enterprise Knowledge, presented “Unleashing the Power of Multimodal GraphRAG: Integrating Image Features for Deeper Insights” at Data Day Texas 2025 in Austin, TX on Saturday, January 25th. In this presentation, Hughes … Continue reading
A Guide to Selecting the Right Auto-Tagging Approach
Auto-tagging processes automate the manual labor of applying relevant keyword tags to data and content, enhancing accessibility and improving the organization of large datasets. Whether you’re trying to improve how quickly you find data or embarking on a content cleanup … Continue reading
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
The Metadata Knowledge Graph
Modern data landscapes are characterized by immense volumes of diverse, disparate, and dynamic data sources, leaving many organizations struggling to effectively manage and derive value from their data assets. To address these challenges, a metadata knowledge graph serves as a … 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
Expert Analysis: How Do I Get Started with a Semantic Layer? (Using Entity Resolution for Multiple Source Fusion)
The volume of information organizations have available to them is far exceeding their ability to make sense of it all. A big part of the problem is the fact that enterprise data is scattered, disconnected and represented in inconsistent forms. … Continue reading
Fernando Aguilar Islas and Emily Crockett to Present Webinar on Content Graphs for Personalization
Fernando Aguilar Islas, Data Science Consultant, and Emily Crockett, Content Engineering Consultant, are teaming up with the Content Wrangler, Scott Abel, to present a webinar on March 19th, 2024 from 1-2pm discussing Ontologies, Structured Content, and Knowledge Graphs. Learn how … Continue reading
Data Fabric Solution Vendor Evaluation for a Multinational Pharmaceutical Company
The Challenge A major multinational pharmaceutical company faced challenges with having information stored across collections of structured and unstructured documents that are difficult to index and search. To address this, the company sought a data fabric solution that extracts relevant … Continue reading