Content related to Synergizing Knowledge Graphs with Large Language Models (LLMs): A Path to Semantically Enhanced Intelligence
6 Key Considerations for Implementing a KM System
Enterprise Knowledge (EK) commonly engages with organizations that are seeking to improve their existing Knowledge Management (KM) technology stack and, in turn, desire a new solution that is better suited to their technical and business requirements. There are several possible … Continue reading
Knowledge Cast Product Spotlight – Micah Peterson of ProcedureFlow
In this episode of the Knowledge Cast, Joe Hilger speaks with Micah Peterson, VP of Product Management at ProcedureFlow. Micah is a knowledge management expert and enthusiast, and has been helping companies transform their knowledge management for more than 15 … Continue reading
OmnichannelX 2021: How to Make Content a Maintainable Business Asset Through Structuring and Tagging
This presentation was delivered by Yanko Ivanov, Principal Solution Consultant, on June 9th at the international OmnichannelX 2021 web conference. In the presentation, Ivanov explores how componentized content combined with a rich taxonomy and ontology model enables a dramatic increase … Continue reading
Why Invest in a Knowledge Graph? Your Digital Transformation and Enterprise AI Initiatives Depend on It
The scope and success for digital transformations and advanced enterprise solutions is driven by a few factors, namely, defined use cases, available data, and people and SMEs. For many organizations, the biggest hurdle is knowing where to start. Starting with … 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
How to Quickly Prototype a Scalable Graph Architecture: A Framework for Rapid Knowledge Graph Implementation
Sara Nash and Thomas Mitrevski, Consultants in Enterprise Knowedge’s Data and Information Management Division presented on May 4, 2022 at the Knowledge Graph Conference in New York City. The talk focused on How to Quickly Prototype a Scalable Graph Architecture: … Continue reading
Digital Twins and Knowledge Graphs
Enterprise knowledge graphs are one of the fastest growing trends in knowledge management. Their intuitive and flexible structure, combined with their emphasis on relationships between entities, make knowledge graphs a natural fit for use cases that require aggregating content from … Continue reading
Knowledge Cast Product Spotlight – Joe Pairman of RWS Group
In this episode of the Knowledge Cast, Joe Hilger speaks with Joe Pairman, Director of Product Management at RWS Group. RWS Group is a world-leading provider of technology-enabled language, content management, and intellectual property services. Joe is in charge of … Continue reading
Where Does a Knowledge Graph Fit Within the Enterprise?
Our clients often assume that building a knowledge graph requires that all data be managed in a single place for it to be effective. That is not the case. There are a variety of ways that organizations can solve for … Continue reading
Translating AI from Concept to Reality: Five Keys to Implementing AI for Knowledge, Content, and Data
Lulit Tesfaye, a Partner and Director for Enterprise Knowledge’s Data and Information Management Division, presented on April 07, 2022 at the data.world Spring Virtual Summit 2022 on the topic of Translating AI from Concept to Reality: Five Keys to Implementing … Continue reading