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Content related to Lulit Tesfaye and Lynn Miller to Speak at the APQC 2026 Process & Knowledge Management Conference

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

Cutting Through the Noise: An Introduction to RDF & LPG Graphs

Graph is good. From capturing business understanding to support standardization and data analytics to informing more accurate LLM results through Graph-RAG, knowledge graphs are an important component of how modern businesses translate data and content into actionable knowledge and information. … Continue reading

Fostering a Knowledge-Sharing Mindset: How to Get People to Share What They Know

Knowledge is one of an organization’s most valuable assets, but it’s only useful when shared. Organizations become more innovative, efficient, and resilient when employees actively exchange insights, best practices, and lessons learned. However, knowledge sharing doesn’t always happen naturally—it requires the right culture, incentives, and support. 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

Entitlements Within a Semantic Layer Framework: Benefits of Determining User Roles Within a Data Governance Framework

The importance of data governance grows as the number of users with permission to access, create, or edit content and data within organizational ecosystems faces cumulative upkeep. An organization may have a plan for data governance and may have software … Continue reading

Leveraging Institutional Knowledge to Improve AI Success

In an age where organizations are seeking competitive advantages from new technologies, having high-quality knowledge readily available for use by both humans and AI solutions is an imperative. Organizations are making large investments in deploying AI. However, many are turning … Continue reading

Understanding the Role of Knowledge Intelligence in the CRISP-DM Framework: A Guide for Data Science Projects

In today’s rapidly advancing field of data science, where new technologies and methods continuously emerge, it’s essential to have a structured approach to navigate the complexities of data mining and analysis. The CRISP-DM framework–short for Cross-Industry Standard Process for Data … Continue reading

Extracting Knowledge from Documents: Enabling Semantic Search for Pharmaceutical Research and Development

The Challenge A major pharmaceutical research and development company faced difficulty creating regulatory reports and files based on years of drug experimentation data. Their regulatory intelligence teams and drug development chemists spent dozens of hours searching through hundreds of thousands … Continue reading

The Minimum Requirements To Consider Something a Semantic Layer

Semantic Layers are an important design framework for connecting information across an organization in preparation for Enterprise AI and Knowledge Intelligence. But with every new technology and framework, interest in utilizing the technological advance outpaces experience in effective implementation. As … Continue reading