Blog Archives
Transforming Tabular Data into Personalized, Componentized Content using Knowledge Graphs in Python
My colleagues Joe Hilger and Neil Quinn recently wrote blogs highlighting the benefits of leveraging a knowledge graph in tandem with a componentized content management system (CCMS) to curate personalized content for users. Hilger set the stage explaining the business … Continue reading
Knowledge Graph Accelerator for Data Standardization and Environmental Social Governance (ESG)
The Challenge A global management consulting firm needed to establish a standardized, central platform for consultants to see insights on environmental impacts associated with supply chain processes. Historically, this information was stored in disparate locations, often hidden within departmental documents … Continue reading
Improving Product Documentation With a CCMS and a Knowledge Graph
The Challenge A financial solutions provider wanted to improve and personalize customer interaction with support and technical documentation as well as streamline the content authoring process to ensure consistent messaging and avoid duplicated information. Before the EK team’s involvement, technical … Continue reading
Data Management Trends in 2022: Data Fabric v. Data Mesh v. DataOps? What is Right for Your Organization?
When we start most of our engagements with our clients, there are common and important challenges we’re typically presented with that help summarize the core needs that persist within the data management space today: We don’t know what data we … Continue reading
The Phantom Data Problem: Finding and Managing Secure Content
Every organization has content/information that needs to be treated as confidential. In some cases, it’s easy to know where this content is stored and to make sure that it is secure. In many other cases, this sensitive or confidential content … Continue reading
The Importance of a Semantic Layer in a Knowledge Management Technology Suite
One of the most common Knowledge Management (KM) pitfalls at any organization is the inability to find fresh, reliable information at the time of need. One of, if not the most prominent, causes of this inability to quickly find information … Continue reading
How to take an AI Project Beyond a Prototype
Before going “all in,” we often advise our clients to first understand and quickly validate the value proposition for adopting advanced Artificial Intelligence (AI) and Machine learning (ML) solutions within their organization by engaging in a prototype or pilot. Conducting … Continue reading
Using Wireframes to Define and Visualize Enterprise Knowledge Graphs
As a complement to our enterprise search engagements with clients, we often end up exploring how the implementation of a knowledge graph can establish the foundation for more advanced KM and data efforts, such as smart search or AI capabilities … Continue reading
Knowledge AI: Content Recommender and Chatbot Powered by Auto-Tagging and an Enterprise Knowledge Graph
The Challenge A global development bank needed a better way to disseminate information and in-house expertise to all of their staff to support the efficient completion of projects, while also providing employees with an intuitive knowledge sharing tool that is … Continue reading
Webinar: Knowledge Management Becomes Business Critical as Knowledge Graphs Improve Decision Making and Efficiency
Presented by Joe Hilger (COO of Enterprise Knowledge) and Atanas Kiryakov (CEO and Founder of Ontotext) on January 28th. In this webinar Hilger and Kiryakov explain how Knowledge Graphs and Ontotext’s GraphDB product enable greater findability of knowledge and information … Continue reading