Content related to The Cost of Doing Nothing: The Business Case for Knowledge and Information Management
Top Semantic Layer Use Cases and Applications (with Realworld Case Studies)
Today, most enterprises are managing multiple content and data systems or repositories, often with overlapping capabilities such as content authoring, document management, or data management (typically averaging three or more). This leads to fragmentation and data silos, creating significant inefficiencies. … Continue reading
Knowledge Cast – Liam Fahey at Leadership Forum
Enterprise Knowledge CEO Zach Wahl speaks with Liam Fahey, Partner and Co-Founder at Leadership Forum LLC. In this conversation, Zach and Liam discuss Liam’s claim to fame as co-host of the first Knowledge Management conference in 1994, the importance of … Continue reading
Harnessing Institutional Knowledge to Enhance Employee Learning
Institutional knowledge loss erodes an organization’s effectiveness by neglecting critical collective wisdom and work previously produced by others. It is a challenge that is cumulative in its effect. The more time that goes by where an organization fails to protect … Continue reading
Leveraging Institutional Knowledge to Enable Innovation
In Greek mythology, the character Sysiphus is condemned to spend eternity pushing a boulder up a hill, only for the boulder to roll back down as soon as he nears the top. When organizations lack capability to manage and preserve … Continue reading
Using Knowledge Management to Minimize the Costs of Departing Leaders
Institutional knowledge loss can take many forms, but one of its most common instances occurs when long-standing leaders and experts decide to step down and leave the organization. Departures arise as individuals look for new opportunities, retire, or as a … Continue reading
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
Unlocking Knowledge Intelligence from Unstructured Data
Introduction Organizations generate, source, and consume vast amounts of unstructured data every day, including emails, reports, research documents, technical documentation, marketing materials, learning content and customer interactions. However, this wealth of information often remains hidden and siloed, making it challenging … Continue reading