Blog Archives
Transforming Tabular Data into Personalized, Componentized Content using Knowledge Graphs in Python
My colleagues Joe Hilger and Neil Quinn recently wrote blogs highlighting the benefits of leveraging a knowledge graph in tandem with a componentized content management system (CCMS) to curate personalized content for users. Hilger set the stage explaining the business value of a personalized digital experience and the logistics of these two technologies supporting one … Continue reading
How the Government Gets KM Wrong
In my nearly quarter century of Knowledge Management consulting, I’ve been pleased to see organizations across the globe mature in their understanding of enterprise KM programs, and I’m proud that EK has had a meaningful impact on this awareness. Increasingly … Continue reading
Knowledge Management Technology to Improve Learning Outcomes
Learning Ecosystems should be designed to not only present educational information, but to truly promote learning. There are many factors that improve learning outcomes within learning ecosystems, but two of those factors most strongly impacted by knowledge management technology are … Continue reading
The Top 5 KM Technologies
Knowledge Management (KM) is more important than ever. The great resignation is creating turnover unlike anything we have ever seen. How do we retain the knowledge of the workers who leave and quickly upskill new workers? This problem is even … Continue reading
Knowledge Management Is More Than SharePoint
I regularly speak with business leaders about Knowledge Management (KM). It is surprising how often I hear executives tell me they have addressed KM in their organization by implementing SharePoint or O365. When I ask how well it is working, … Continue reading
Content Personalization with Knowledge Graphs in Python
In a recent blog post, my colleague Joe Hilger described how a knowledge graph can be used in conjunction with a componentized content management system (CCMS) to provide personalized content to customers. This post will show the example data from Hilger’s post being loaded into a knowledge graph and queried to find the content appropriate … Continue reading
Designing Your Taxonomy to Fit Your Use Case: Advanced Taxonomy Use Cases (Part 2)
In my previous blog, I wrote about building a taxonomy for two foundational use cases – findability and navigation – that we commonly design for at EK. This blog will focus on two advanced, yet still common, taxonomy use cases. … Continue reading
Knowledge Management Trends in 2022
As we move into 2022, I’m excited to present my annual listing of KM trends. We’re seeing a great deal of movement and investment in Knowledge Management. As predicted last year, Artificial Intelligence and Knowledge Graphs have grown to be … Continue reading
Expert Analysis: Does My Organization Need a Graph Database?
As EK works with our clients to integrate knowledge graphs into their technical ecosystems, client stakeholders often ask, “Why should we leverage knowledge graphs?” and more specifically, “Do we need a graph database?” Our consultants then collaborate with stakeholders to … Continue reading
Data Management Trends in 2022: Data Fabric v. Data Mesh v. DataOps? What is Right for Your Organization?
When we start most of our engagements with our clients, there are common and important challenges we’re typically presented with that help summarize the core needs that persist within the data management space today: We don’t know what data we … Continue reading