Content related to What is the Difference Between a Semantic Layer and a Context Layer? When to Use a Knowledge Graph vs. a Context Graph
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 Bottlenecks in data registration, lack of ownership, inflexible models, out of date schemas and streams, and quality … Continue reading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
Top Graph Use Cases and Enterprise Applications (with Real World Examples)
Graph solutions have gained momentum due to their wide-ranging applications across multiple industries. Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Several factors are driving the … Continue reading
Knowledge Graph Design Workshop
Google, Microsoft, Amazon, and Siri are all powered by extensive knowledge graphs that allow the questions to be mapped across diverse sources, align with context, and meaning to provide quality answers to searches. Approaching fragmented and disparate data requires a … Continue reading
Knowledge Graph University
If you’re looking to build out competency with semantics and knowledge graphs in your team, EK’s Knowledge Graph University is a great place to start. This five-module intensive training is taught by our expert instructors who will coach your team … Continue reading
Knowledge Graph Accelerator
Knowledge graphs can make Enterprise AI a reality for your organization. The Knowledge Graph Accelerator offering with Enterprise Knowledge (EK) establishes a practical, standards-based roadmap and prototype to quickly realize the potential of your knowledge and data. What Can Knowledge … Continue reading