Content related to The Value of Data Catalogs for Data Scientists
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
The Phantom Data Problem: Finding and Managing Secure Content
Every organization has content/information that needs to be treated as confidential. In some cases, it’s easy to know where this content is stored and to make sure that it is secure. In many other cases, this sensitive or confidential content … Continue reading
Employee 360 Views: Common Use Cases
In an earlier blog, I discussed what Employee 360 Views are and which possible sources of information can feed them. In this blog, I describe why Employee 360 Views are important from various end users’ perspectives, what employee information they … Continue reading
Employee 360 Views: What are they?
Leaders from every organization need accurate and up-to-date information about their employees to support key corporate decisions, enhance business profitability, and remain competitive in today’s world. One of the best ways to better understand your employees is through an Employee … Continue reading
360-view of a Consumer: Deduplicating and Constructing Consumer Data using an Identity Graph
The Challenge For the last 30 years, a large global digital marketing and technology firm has been collecting consumer data on adults in the United States from hundreds of primary sources to build consumer marketing databases. Because data comes from … Continue reading
Using Wireframes to Define and Visualize Enterprise Knowledge Graphs
As a complement to our enterprise search engagements with clients, we often end up exploring how the implementation of a knowledge graph can establish the foundation for more advanced KM and data efforts, such as smart search or AI capabilities … Continue reading
Knowledge AI: Content Recommender and Chatbot Powered by Auto-Tagging and an Enterprise Knowledge Graph
The Challenge A global development bank needed a better way to disseminate information and in-house expertise to all of their staff to support the efficient completion of projects, while also providing employees with an intuitive knowledge sharing tool that is … Continue reading
Five Steps to Implement Search with a Knowledge Graph
Knowledge Graphs and Search are commonly linked together to support search use cases such as: Returning contextual relationships with search results; Displaying relevant topics in a knowledge panel; or Powering an expert finder. These advanced use cases enable an organization … Continue reading
Webinar: Knowledge Management Becomes Business Critical as Knowledge Graphs Improve Decision Making and Efficiency
Presented by Joe Hilger (COO of Enterprise Knowledge) and Atanas Kiryakov (CEO and Founder of Ontotext) on January 28th. In this webinar Hilger and Kiryakov explain how Knowledge Graphs and Ontotext’s GraphDB product enable greater findability of knowledge and information … Continue reading