Humanitarian Foundation – SemanticRAG POC
A humanitarian foundation needed to demonstrate the ability of its Graph Retrieval Augmented Generation (GRAG) system to answer complex, cross-source questions. In particular, the task was to evaluate the impact of foundation investments on strategic goals by synthesizing information from publicly available domain data, internal investment documents, and internal investment data. The challenge laid in …. Continue reading
Aligning an Enterprise-Wide Information Management (IM) Roadmap for a Global Energy Company
A global energy company sought support in detailing and aligning their information management (IM) team’s roadmaps for all four of their IM products – covering all managed applications, services, projects, and capabilities – to help them reach their target state vision of higher levels of productivity, more informed decision-making, and quality information made available to … Continue reading
The Top 5 Reasons for a Semantic Layer
Implementing Semantic Layers has become a critical strategic plan for many of our most advanced data clients. A Semantic Layer connects all organizational knowledge assets, including content items (files, videos, media, etc.) via a well defined and standardized semantic framework. … Continue reading
The 5 Key Components of a Semantic Search Experience
Semantic Search extends meaning and context to your otherwise run-of-the-mill search results. This future-ready phase of search seeks to apply machine-driven understanding of user intent, query context, and the relationships between words. We broke down the primary elements that make … Continue reading
Using Knowledge Graph Data Models to Solve Real Business Problems
A successful business today must possess the capacity to quickly glean valuable insights from massive amounts of data and information coming from diverse sources. The scale and speed at which companies are generating data and information, however, often makes this … Continue reading