Content related to Synergizing Knowledge Graphs with Large Language Models (LLMs): A Path to Semantically Enhanced Intelligence
Semantic LLM Accelerator
With the right context, Large Language Models (LLMs) can be a powerful tool to accelerate enterprise digital transformations. Knowledge graphs provide that enterprise context, giving organizations the ability to understand and trust LLMs to take advantage of their powerful applications. … Continue reading
5 Steps For Building Your Enterprise Semantic Recommendation Engine
In today’s digital landscape, where content overload is a constant challenge, recommendation engines (also known as personalized content recommenders, or just “recommenders”) have emerged as powerful solutions that help users cut through the noise and discover relevant information. These intelligent … Continue reading
How a Knowledge Graph Supports AI: Technical Considerations
In 2023, ChatGPT’s explosive popularity made Artificial Intelligence (AI) language models a household name. In essence, these models are a key component of natural language processing (NLP), a field of AI, focused on enabling computers to understand and generate human … Continue reading
Recommendation Engine Automatically Connecting Learning Content & Product Data
The EK Difference EK’s hallmark is rooted in the proficiency of advanced AI and knowledge graph technologies, as well as our profound commitment to client relationships. Working closely with the company’s content and data teams, EK displayed a robust understanding … Continue reading
What is A Data Fabric Architecture and What Are The Design Considerations?
Introduction In today’s data-driven world, effective data management is crucial for businesses to remain competitive. A modern approach to data management is the use of data fabric architecture. A data fabric is a data management solution that connects and manages … Continue reading
From Data to Knowledge… Strategy
At EK, we help organizations across multiple industries and geographic locations tackle a wide range of challenges in dealing with the data, information, and knowledge that supports their strategic goals. Data management teams within these organizations are rising to the … 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
When a Knowledge Portal Becomes a Learning and Performance Portal
EK’s CEO, Zach Wahl, previously published Knowledge Portals Revisited, a blog that spells out an integrated suite of systems that actually puts users’ needs at the center of a knowledge management solution. We’ve long acknowledged that content may need to … Continue reading
Five Ways to Demonstrate the Value of KM [In the Age of AI]
Knowledge management (KM) is steadily growing beyond its traditional role of providing the framework for sharing, using, and managing the knowledge and information of an organization: it now also serves as the foundation for advancements in Artificial Intelligence (AI). We … Continue reading
How a Knowledge Graph Can Accelerate Data Mesh Transformation
Despite a variety of powerful technical solutions designed to centrally manage enterprise data, organizations are still running into the same stubborn data issues. Bottlenecks in data registration, lack of ownership, inflexible models, out of date schemas and streams, and quality … Continue reading