Content related to A Tale of Two Semantic Layers
Bringing KM, Search, and AI Together
Clients come to EK looking to empower their people, make operations more efficient, and create a competitive advantage against their peers through improved Knowledge Management (KM). They want to take advantage of cutting-edge technologies like knowledge graphs, artificial intelligence (AI), … Continue reading
Best Practices for Enterprise Knowledge Graph Design
In my previous post, I described Enterprise Knowledge Graphs and their importance to today’s organization. Now that we understand the value of Enterprise Knowledge Graphs, I want to address questions like how we create one for a specific organization, where … Continue reading
How Data Scientists Find Relevant Data with a Data Knowledge Graph
A better way to manage data using semantic graphs for dataset metadata modeling. A recent study from Gartner found that expensive data science resources are often “misaligned” due to the fact that data science teams are spending a majority of … Continue reading
A Knowledge Graph Feast
As Thanksgiving nears, many of us will be scouring recipe books looking for the perfect meal to prepare for family or friends. Visions of golden, brown turkey, creamy mashed potatoes, and savory stuffing (along with a challenge from one of … Continue reading
What is an Enterprise Knowledge Graph and Why Do I Want One?
Enterprise Knowledge Graphs have been on the rise. We see them as an incredibly valuable tool for relating your structured and unstructured information and discovering facts about your organization. Yet, knowledge graphs have been and still are far too underutilized. … Continue reading
Knowledge Graphs as a Pillar to AI
This presentation from EK’s Yanko Ivanov and James Midkiff explores the framework that ontologies provide for enterprise knowledge graphs, shows how semantic layers complement traditional information models, and demonstrates how semantic knowledge models can be used as a basis for text … Continue reading