What Are Explainable AI Knowledge Portals and Why Do You Need Them?

Knowledge Portals first came into prominence in the early 2000s. These initial portals were a collection of static links to information on everything from HR systems to company policies and communications. It was a single location to access the systems … Continue reading

Knowledge Cast – Mike Ferguson, CEO of Intelligent Business Strategies

Enterprise Knowledge’s Lulit Tesfaye, VP of Knowledge & Data Services, speaks with Mike Ferguson, CEO of Intelligent Business Strategies and Conference Chair of Big Data LDN, the largest data and analytics conference in Europe. With over 40 years of experience … Continue reading

3 Common Pain Points in Transitioning from Semantic Strategy to Implementation and How to Avoid Them

At EK, we work with many organizations that are looking to connect, standardize, and enrich knowledge assets (both structured data and unstructured content) for their enterprise through the implementation of a Semantic Layer.  While traditionally, Semantic Layer implementation was in … Continue reading

Where AI is Failing Organizations Without a Semantic Layer: Lessons From the Trenches (with Case Studies)

It has been over three years since OpenAI, an artificial intelligence research company, introduced ChatGPT in November 2022. While artificial intelligence has existed for decades prior, this release and development of Generative AI (GenAI), large language models (LLMs), and their … Continue reading

Semantic Layer Strategy: The Core Components You Need for Successfully Implementing a Semantic Layer

Today’s organizations are flooded with opportunities to apply AI and advanced data experiences, but many struggle with where to focus first. Leaders are asking questions like: “Which AI use cases will bring the most value? How can we connect siloed … Continue reading

How to Ensure Your Data is AI Ready

Artificial intelligence has the potential to be a game-changer for organizations looking to empower their employees with data at every level. However, as business leaders look to initiate projects that incorporate data as part of their AI solutions, they frequently … Continue reading

When Should You Use An AI Agent? Part One: Understanding the Components and Organizational Foundations for AI Readiness

It’s been recognized for far too long that organizations spend as much as 30-40% of their time searching for or recreating information. Now, imagine a dedicated analyst who doesn’t just look for or analyze data for you but also roams … Continue reading

Building Your Information Shopping Mall – A Semantic Layer Guide

Imagine your organization’s data as a vast collection of goods scattered across countless individual stores, each with its own layout and labeling system. Finding exactly what you need can feel like an endless, frustrating search. This is where a semantic … Continue reading

The Evolution of Knowledge Management & Organizational Roles: Integrating KM, Data Management, and Enterprise AI through a Semantic Layer

On June 23, 2025, at the Knowledge Summit Dublin, Lulit Tesfaye and Jess DeMay presented “The Evolution of Knowledge Management (KM) & Organizational Roles: Integrating KM, Data Management, and Enterprise AI through a Semantic Layer.” The session examined how KM … Continue reading

Semantic Layer for Content Discovery, Personalization, and AI Readiness

A professional association needed to improve their members’ content experiences. With tens of thousands of content assets published across 50 different websites and 5 disparate content management systems (CMSes), they struggled to coordinate a content strategy and improve content discovery. They could not keep up with the demands of managing content … Continue reading