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 … Continue reading
Data Governance for Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) has emerged as a powerful approach for injecting organizational knowledge into enterprise AI systems. By combining the capabilities of large language models (LLMs) with access to relevant, up-to-date organizational information, RAG enables AI solutions to deliver context-aware, accurate, … Continue reading
David Hughes Speaking at ODSC’s AI Builders Summit
David Hughes, Principal Data & AI Solution Architect at Enterprise Knowledge, will be conducting a virtual workshop titled “Advancing GraphRAG: Multimodal Integration with Associative Intelligence” with Amy Hodler, Founder of GraphGeeks, at ODSC’s AI Builders Summit on Thursday, February 6th … Continue reading
David Hughes Speaking at Data Day Texas 2025
David Hughes, Principal Data & AI Solution Architect at Enterprise Knowledge, will be presenting on an underexplored dimension of GraphRAG–the integration of image–in his talk titled “Unleashing the Power of Multimodal GraphRAG: Integrating Image Features for Deeper Insights” at Data … 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
Data Governance Program Starter Kit
A successful data governance program must align with organizational priorities, ensure data consistency, and provide clear accountability. However, many organizations face challenges such as undefined roles, lack of cross-functional collaboration, and inconsistent processes, which can impede governance efforts. For Data … Continue reading
Data Catalog Expansion Workshop
A data catalog is a centralized repository that organizes, manages, and indexes an organization’s data assets and related metadata, making it easier for users to discover, access, and understand the data available to them. It serves as a foundation for … Continue reading
Data Governance Maturity Assessment
An organization’s data governance maturity is directly correlated with its probability of success when launching modern data initiatives aimed at increasing data reliability, ownership, compliance, usability, and scalability. Substandard data governance can counteract these efforts over time, resulting in failed … Continue reading
Data Product Accelerator
Data products are reusable data resources that collect and enrich data in order to answer specific questions about a use case and also provide structured access through APIs or visualization tools. As organizations strive to extract more value from their … Continue reading