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Content related to Bringing KM, Search, and AI Together

Using Knowledge Graph Data Models to Solve Real Business Problems

A successful business today must possess the capacity to quickly glean valuable insights from massive amounts of data and information coming from diverse sources. The scale and speed at which companies are generating data and information, however, often makes this … Continue reading »

Increase the Re-Use of Knowledge Assets with Semantic Hubs

In my last blog, I discussed how knowledge graphs aggregate information from multiple systems to enable powerful search and discovery tools. A semantic hub (or semantic middleware) is a metadata-enhanced bridge that connects a knowledge graph to user-facing applications, helping … Continue reading »

Optimizing Your Search Experience: A Human-Centered Approach to Search Design

Designing a search solution requires an understanding of how people think, what they want, and how they go about getting what they want. You can implement the most technically sophisticated search tool for your organization, but if you’re not configuring … Continue reading »