Governing a Federated Data Model

Kjerish, CC BY-SA 4.0, via Wikimedia Commons Data proliferates. Whether you are a small team or a multinational enterprise, information grows at an accelerated rate over time. As that data proliferates, you can run into issues of interoperability, duplication, and … Continue reading

The Role of Semantic Layers with LLMs

In today’s business landscape, Large Language Models (LLMs) are essential tools for driving innovation, streamlining operations, and unlocking new opportunities for growth. A Large Language Model, or LLM, is an advanced AI model designed to perform Natural Language Processing (NLP) … Continue reading

Generative AI for Taxonomy Creation

There is a growing awareness and appreciation for taxonomies as information and knowledge management tools. Taxonomies – structured sets of terms tagged to content – support search, information discovery, browse navigation, news alerts and feeds, content recommendation and personalization, content … Continue reading

Crowd-Sourcing Data Governance

If you don’t remember The Little Red Hen, a chicken found grain and asked the other farm animals to help throughout the journey of processing that grain. The hen asked if they would plant the seeds, help with the harvest, … Continue reading

The Top 3 Ways to Implement a Semantic Layer

Over the last decade, we have seen some of the most exciting innovations emerge within the enterprise knowledge and data management spaces. Those innovations with real staying power have proven to drive business outcomes and prioritize intuitive user engagement. Within … Continue reading

What Every CEO Needs to Know About Semantic Layers

Recently, we at Enterprise Knowledge have been talking a lot about Semantic Layers, defining what they are, and even what they aren’t. We’ve detailed the various technical components and the business value of each, presented logical diagrams, and identified many … Continue reading

Breaking Down Enterprise AI, Part I: Insight Track

2023 was an incredibly exciting year for artificial intelligence. Several technology trends – distributed computing, transformer models, and large repositories of data – converged to produce powerful generative AI products like ChatGPT and Midjourney. These products have helped generate excitement … Continue reading

What is a Large Language Model (LLM)?

  In late November of 2022, artificial intelligence (AI) research and development company OpenAI released ChatGPT, an AI chatbot powered by a Large Language Model (LLM). In the following year, the world witnessed a meteoric rise in the usage of … Continue reading

How to Prepare Content for AI

Artificial Intelligence (AI) enables organizations to leverage and manage their content in exciting new ways, from chatbots and content summarization to auto-tagging and personalization. Most organizations have a copious amount of content and are looking to use AI to improve … Continue reading

The Top 5 Reasons for a Semantic Layer

Implementing Semantic Layers has become a critical strategic plan for many of our most advanced data clients. A Semantic Layer connects all organizational knowledge assets, including content items (files, videos, media, etc.) via a well defined and standardized semantic framework. … Continue reading