Content related to Transforming Tabular Data into Personalized, Componentized Content using Knowledge Graphs in Python
AI-Augmented Content Analysis to Remediate Duplicate Content
A global energy company with operations in over 60 countries began actively working to reduce their carbon emissions to achieve Net Zero by 2050. Enterprise Knowledge (EK) evaluated and refined their strategic roadmaps, which yielded a plethora of new initiatives that built on their existing efforts. Continue reading
Synergizing Knowledge Graphs with Large Language Models (LLMs): A Path to Semantically Enhanced Intelligence
Why do Large Language Models (LLMs) sometimes produce unexpected or inaccurate results, often referred to as ‘hallucinations’? What challenges do organizations face when attempting to align the capabilities of LLMs with their specific business contexts? These pressing questions underscore the … Continue reading
Dynamic Content POC for Sales Enablement in Healthcare
The Challenge An international healthcare company equipped medical sales representatives with large slide decks to inform medical professionals about new products and medical research during in person meetings. These meetings were important to the healthcare company’s core mission of creating … 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
Data Fabric Solution Vendor Evaluation for a Multinational Pharmaceutical Company
The Challenge A major multinational pharmaceutical company faced challenges with having information stored across collections of structured and unstructured documents that are difficult to index and search. To address this, the company sought a data fabric solution that extracts relevant … Continue reading
Unlocking Dark Data: AI Strategies for Enhanced Data Governance
Wondering how to safeguard your data and mitigate accidental leaks? Dive into our infographic to discover EK’s approach, which incorporates data crawling, pattern matching, and the strategic use of AI and ML models, designed to secure your data and prevent … 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
Dynamic Content
Creating high-quality content quickly and efficiently requires thinking of your content not as a web page or PDF but as a set of flexible, reusable building blocks that can be assembled into the format that meets your employees’ or customers’ needs. A dynamic content model leverages those reusable components to build personalized experiences. Continue reading
What Isn’t a Semantic Layer?
Semantic layers allow organizations to embed context with their organizational data in a way that is systematically interoperable and intuitive to business users. With developments in data and AI, there is a compelling need (and opportunity) for semantic layer development, … Continue reading