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Content related to Taking Content Personalization to the Next Level: Graphs and Componentized Content Management

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

Content Engineering for Personalized Product Release Notes

The Challenge A global software vendor with a vast portfolio of cloud software products needed to deliver more personalized, timely, and relevant release notes of upcoming product changes in a continuous implementation, continuous delivery (CI/CD) environment to both internal and … Continue reading

5 Steps For Building Your Enterprise Semantic Recommendation Engine

In today’s digital landscape, where content overload is a constant challenge, recommendation engines (also known as personalized content recommenders, or just “recommenders”) have emerged as powerful solutions that help users cut through the noise and discover relevant information. These intelligent … Continue reading

Recommendation Engine Automatically Connecting Learning Content & Product Data

The EK Difference EK’s hallmark is rooted in the proficiency of advanced AI and knowledge graph technologies, as well as our profound commitment to client relationships. Working closely with the company’s content and data teams, EK displayed a robust understanding … Continue reading

What is A Data Fabric Architecture and What Are The Design Considerations?

Introduction In today’s data-driven world, effective data management is crucial for businesses to remain competitive. A modern approach to data management is the use of data fabric architecture. A data fabric is a data management solution that connects and manages … Continue reading