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Content related to Leveraging KM as the Foundation for Artificial Intelligence

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 »

Developing Good KM Habits to Make KM Stick

Clients often ask me how to make Knowledge Management (KM) a seamless part of their workforce’s day-to-day operations. They want to know how to shift people’s perceptions from KM as “another thing I have to do in addition to my … Continue reading »

The Roadmap to Open, Accessible, and Machine-Readable Data

In January, the federal government passed a new law to improve data management at federal agencies, H.R. 4174, the “Foundations for Evidence-based Policymaking Act of 2018”. The law includes the Open, Public, Electronic, and Necessary Government Data Act, or the … Continue reading »

The Cost of Doing Nothing: The Business Case for Knowledge and Information Management

For many organizations, investment decisions on Knowledge, Data, and Information Management initiatives are driven by high-level business objectives such as increased efficiency, productivity, competitive advantage, and enhanced employee or customer engagement. While aligning Knowledge and Information Management initiatives with business … Continue reading »