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

How Sustainability Grows from KM

Sustainability is becoming increasingly important to businesses’ fiscal outcomes. Sustainability is the practice of enhancing environmentally-friendly practices in an organization, such as by reducing energy consumption or water usage. Today’s consumers value sustainability as a core principle when making purchasing … Continue reading

A Practical Guide To Knowledge Transfer Interviews

Organizations often wait too long to target and capture the lessons learned and takeaways gained from senior leaders’ experience and tenure. As a result, when senior executives leave or retire, key nuggets of institutional knowledge often leave with them. Knowledge … Continue reading

Optimizing Historical Knowledge Retrieval: Leveraging an LLM for Content Cleanup

One of the top global leaders in automotive manufacturing faced significant challenges in managing and accessing critical knowledge across its diverse teams. The company engaged Enterprise Knowledge (EK) to conduct a Knowledge Management (KM) Strategy and solution implementation project plan after the failure of multiple KM initiatives. The engagement’s long-term goal is to establish a shared Knowledge Management System (KMS) to streamline access to crucial information, better leverage experts’ institutional knowledge and experience, and decrease new employees’ time to proficiency. Continue reading

Establishing a Scalable Knowledge Management Strategy and Solution Framework for a Leading Automotive Manufacturing Company: A Case Study

One of the top global leaders in automotive manufacturing faced significant challenges in managing and accessing critical knowledge across its diverse teams. The company engaged Enterprise Knowledge (EK) to conduct a Knowledge Management (KM) Strategy and solution implementation project plan after the failure of multiple KM initiatives. The engagement’s long-term goal is to establish a shared Knowledge Management System (KMS) to streamline access to crucial information, better leverage experts’ institutional knowledge and experience, and decrease new employees’ time to proficiency. Continue reading

Graph Analytics in the Semantic Layer: Architectural Framework for Knowledge Intelligence

Introduction As enterprises accelerate AI adoption, the semantic layer has become essential for unifying siloed data and delivering actionable, contextualized insights. Graph analytics plays a pivotal role within this architecture, serving as the analytical engine that reveals patterns and relationships … Continue reading

Beyond Traditional Machine Learning: Unlocking the Power of Graph Machine Learning

Traditional machine learning (ML) workflows have proven effective in a wide variety of use cases, from image classification to fraud detection. However, traditional ML leaves relationships between data points to be inferred by the model, which can limit its ability … Continue reading