Author: Guillermo Galdamez

KM Strategy for AI Readiness

  Enterprise Artificial Intelligence (AI) readiness depends on the maturity of its underlying knowledge management (KM) ecosystem, not algorithmic power. Without structured, semantically enriched data, advanced models fail due to misalignment, data fragmentation, and hallucinations. Executive leaders face immense pressure … Continue reading

3 Common Pain Points in Transitioning from Semantic Strategy to Implementation and How to Avoid Them

At EK, we work with many organizations that are looking to connect, standardize, and enrich knowledge assets (both structured data and unstructured content) for their enterprise through the implementation of a Semantic Layer.  While traditionally, Semantic Layer implementation was in … Continue reading

How to Fill Your Knowledge Gaps to Ensure You’re AI-Ready

“If only our company knew what our company knows” has been a longstanding lament for leaders: organizations are prevented from mobilizing their knowledge and capabilities towards their strategic priorities. Similarly, being able to locate knowledge gaps in the organization, whether … Continue reading

Knowledge Portals: Manifesting A Single View Of Truth For Your Organization

Guillermo Galdamez, Principal Knowledge Management Consultant, and Benjamin Cross, Project Manager, presented “Knowledge Portals: Manifesting A Single View Of Truth For Your Organization” at the APQC 2025 Process & Knowledge Management Conference on April 9th, 2025. Galdamez and Cross delivered … 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

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

Expert Analysis: Top 5 Considerations When Building a Modern Knowledge Portal

Knowledge Portals aggregate and present various types of content – including unstructured content, structured data, and connections to people and enterprise resources. This facilitates the creation of new knowledge and discovery of existing information. The following article highlights five key … Continue reading