AI & Taxonomy: the Good and the Bad
The recent popularity of new machine learning (ML) and artificial intelligence (AI) applications has disrupted a great deal of traditional data and knowledge management understanding and tooling. At EK, we have worked with a number of clients who have questions–how … 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
Governing a Federated Data Model
Kjerish, CC BY-SA 4.0, via Wikimedia Commons Data proliferates. Whether you are a small team or a multinational enterprise, information grows at an accelerated rate over time. As that data proliferates, you can run into issues of interoperability, duplication, and … Continue reading
Make Content Management Systems Work for You: Designing Your CMS to Deliver KM Solutions
The most common use case our clients report for implementing their Content Management System (CMS) is “we needed a place to store our documents.” When they come to Enterprise Knowledge (EK), they’ve begun to realize that storing content is one … Continue reading
A Semantic Data Fabric with Federated Governance for Data Standardization
The Solution To enable the adoption of standardized data across the organization, EK spearheaded the design and development of an enterprise ontology, defining key data elements describing the core financial activities the client performs for millions of customers as well … Continue reading
Where Should KM Leadership and Governance Belong in an Organization?
Whenever an organization invests in Knowledge Management (KM) solutions, whether it’s a new technology, process, or program, the question of who should have ownership and governance over these new tools and ways of working almost always arises. This KM function, … Continue reading
Better Practices for Collaborative Knowledge Graph Modeling
As the scale and scope of the modern data ecosystem grows, we at EK see an increasing number of enterprises recognizing the potential for ontologies to make their data findable and usable throughout the organization. An ontology can provide robust … Continue reading
Enterprise Level vs. Team Level Taxonomies
Many of our clients ask us how to maintain taxonomies at both the enterprise and the team level without duplicating effort, overcomplicating systems, or burdening end users with multiple metadata fields. Depending on the size of your organization, the size … Continue reading
SEMANTiCs US to Promote Next Generation of Transparent AI
Teaming with Semantic Web Company, Enterprise Knowledge is sponsoring the inaugural SEMANTiCs US conference to be held in Austin, TX, from April 21-23 at the AT&T Conference Center. The multi-day conference will showcase proven practices and real-life case studies of … Continue reading
The 5 Key Components of a Semantic Search Experience
Semantic Search extends meaning and context to your otherwise run-of-the-mill search results. This future-ready phase of search seeks to apply machine-driven understanding of user intent, query context, and the relationships between words. We broke down the primary elements that make … Continue reading