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Content related to A Semantic Layer Approach to Enterprise Knowledge Management and Information Findability

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

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

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