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Content related to Structuring Unstructured Content: The Power of Knowledge Graphs and Content Deconstruction

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

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

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

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

How a Knowledge Graph Supports AI: Technical Considerations

In 2023, ChatGPT’s explosive popularity made Artificial Intelligence (AI) language models a household name. In essence, these models are a key component of natural language processing (NLP), a field of AI, focused on enabling computers to understand and generate human … Continue reading