Content related to How a Knowledge Graph Supports AI: Technical Considerations
The Journey of Data: From Raw Numbers to Actionable Insights with LLMs
Wondering how to take your data from its raw, decontextualized state and actually leverage it to produce actionable insights through the power of a Large Language Model (LLM)? The infographic below provides a visual overview of the 10 steps to … Continue reading
Secure LLM Powering Semantic Search for a Multinational Development Bank
The Challenge A multinational development bank with 48 member countries provides loans, grants, and technical assistance to its members for a wide range of development projects to reduce poverty and inequality in the region. The projects cover many topics, including … Continue reading
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
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
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
Knowledge Cast Product Spotlight – Rick Nucci of Guru
Enterprise Knowledge COO Joe Hilger speaks with Rick Nucci, Co-Founder and CEO of Guru. Guru is an all-in-one tool that keeps your team connected and puts all of the information they need in one place, going beyond your average knowledge … Continue reading
Why Your Enterprise AI Projects Need a Product Manager
Over the past four to five years, there has been a push across industries to incorporate Artificial Intelligence technologies into enterprise scale product offerings. The gravity of this effort can feel overwhelming to organizations at first due to the complexity … Continue reading