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

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

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

Beyond Find: The Five Levels of Artificial Intelligence for Knowledge

At Enterprise Knowledge, our work in the field of Knowledge and Information Management has given us the opportunity to explore a wide range of organizational goals and business drivers with our clients. Over the years, these goals have progressed from simply … Continue reading