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Content related to Top 5 Agile Myths: Myth #5 Agile is Only for Software Development

Enhancing Insurance Fraud Detection through Graph-Based Link Analysis

A national agency overseeing insurance claims engaged EK to advise on developing and implementing graph-based analytics to support fraud detection. EK applied key concepts such as knowledge graphs, graph-based link analysis for detecting potentially suspicious behavior, and the underlying technology architecture required to instantiate a fully functional solution at the agency to address client challenges. Continue reading

Enhancing Taxonomy Management Through Knowledge Intelligence

In today’s data-driven world, managing taxonomies has become increasingly complex, requiring a balance between precision and usability. The Knowledge Intelligence (KI) framework – a strategic integration of human expertise, AI capabilities, and organizational knowledge assets – offers a transformative approach … 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

How a Semantic Layer Transforms Engineering Research Industry Challenges

To drive future innovation, research organizations increasingly seek to develop advanced platforms that enhance the findability and connectivity of their knowledge, data, and content–empowering more efficient and impactful R&D efforts. However, many face challenges due to decentralized information systems, where … 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

Enterprise AI Architecture Series: How to Extract Knowledge from Unstructured Content (Part 2)

Our CEO, Zach Wahl, recently noted in his annual KM trends blog for 2025 that Knowledge Management (KM) and Artificial Intelligence (AI) are really two sides of the same coin, detailing this idea further in his seminal blog introducing the … Continue reading

Nurturing Knowledge – A Journey in Building a KM Program from Scratch: A Case Study

Today, non-profit organizations face the challenge of optimizing knowledge management to maximize resources and support decision-making. During this presentation  “Nurturing Knowledge: A Journey in Building a KM Program from Scratch”, Jess DeMay (Enterprise Knowledge) and Jennifer Anna (WWF) shared a … Continue reading