Women’s Health Foundation – Semantic Classification POC

A humanitarian foundation focusing on women’s health faced a complex problem: determining the highest impact decision points in contraception adoption for specific markets and demographics. Two strategic objectives drove the initiative—first, understanding the multifaceted factors (from product attributes to social influences) that guide women’s contraceptive choices, and second, identifying actionable insights from disparate data sources. The key challenge was integrating internal survey response data with internal investment documents to answer nuanced competency questions such as, “What are the most frequently cited factors when considering a contraceptive method?” and “Which factors most strongly influence adoption or rejection?” This required a system that could not only ingest and organize heterogeneous data but also enable executives to visualize and act upon insights derived from complex cross-document analyses. Continue reading

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 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