Content related to Lulit Tesfaye Speaking at the Community Transportation Expo 2019
What is a Semantic Layer? (Components and Enterprise Applications)
Over the last decade, many organizations went through expensive migrations – either moving data into a data lake, a data warehouse, a modern data stack, or to the cloud. Yet, the business problems that many are looking to solve through … Continue reading
Expert Analysis: Top 5 Considerations When Building a Modern Knowledge Portal
Knowledge Portals aggregate and present various types of content – including unstructured content, structured data, and connections to people and enterprise resources. This facilitates the creation of new knowledge and discovery of existing information. The following article highlights five key … Continue reading
The Role of Ontologies with LLMs
In today’s world, the capabilities of artificial intelligence (AI) and large language models (LLMs) have generated widespread excitement. Recent advancements have made natural language use cases, like chatbots and semantic search, more feasible for organizations. However, many people don’t understand … Continue reading
Case Studies: Applications of Data Governance in the Enterprise
Thomas Mitrevski, Senior Data Management and Governance Consultant and Lulit Tesfaye, Partner and Vice President of Knowledge and Data Services presented “Case Studies: Applications of Data Governance in the Enterprise” on December 6th, 2023 at DGIQ in Washington D.C. In … Continue reading
Breaking it down: What is a Knowledge Portal?
Throughout my career, I have worked with dozens of public and private organizations who want a holistic understanding of their knowledge assets. Organizations seek new ways to manage, find, and take action on their knowledge, whether through a content management … Continue reading
Scaling Knowledge Graph Architectures with AI
Sara Nash and Urmi Majumder, Principal Consultants at Enterprise Knowledge, presented “Scaling Knowledge Graph Architectures with AI” on November 9th, 2023 at KM World in Washington D.C. In this presentation, Sara and Urmi defined a Knowledge Graph architecture and reviewed … Continue reading
4 Critical Elements of a Successful Data Governance Program
Without a strong data governance framework, maintaining your organization’s data can become an unwieldy challenge: with unclean, decentralized data, staff may begin to lose trust and confidence in the information they are working with. If you’re unsure where to start, … Continue reading
QA for Personalized Content
We’ve all sifted through dense technical documentation which has way too much detail about features and products that aren’t even relevant to us – just to get to that one nugget of information we’re actually looking for (often on page … Continue reading
Knowledge Portal Architecture Explained
At its core, a Knowledge Portal consists of five components: Web UI, API Layer, Enterprise Search Engine, Knowledge Graph, and Taxonomy/Ontology Management System. Continue reading
KM Fast Track to Search-Focused AI Solutions
In today’s rapidly evolving digital landscape, the ability to quickly locate and connect critical information is key to organizational success. As organizations struggle with ever-expanding datasets and information silos, the need for effective search-focused artificial intelligence (AI) solutions becomes vital. … Continue reading