Blog

Content related to How Data Scientists Find Relevant Data with a Data Knowledge Graph

A Semantic Layer Approach to Enterprise Knowledge Management and Information Findability

Within an organization or enterprise, multiple knowledge organization systems tend to be siloed and used for different purposes in different systems (the website, the intranet, technical documentation publishing, the product catalog, customer support articles, training materials, etc.). If this disparate … Continue reading

Mastering the Dark Data Challenge: Harnessing AI for Enhanced Data Governance and Quality

Enterprise Knowledge’s Maryam Nozari, Senior Data Scientist, and Urmi Majumder, Principal Data Architecture Consultant, presented a talk on “Mastering the Dark Data Challenge: Harnessing AI for Enhanced Data Governance and Quality” at the Data Governance & Information Quality Conference (DGIQ) … Continue reading

Analyzing and Optimizing Content for the Semantic Layer

As I wrote in my previous post, Adding Context to Content in the Semantic Layer, the organizational challenge of effectively generating, managing, and distributing content can be addressed by integrating content into a semantic layer. The semantic layer enriches the … Continue reading

Adding Context to Content in the Semantic Layer

Content is a critical organizational asset. Whether product documentation, sales and marketing materials, industry rules and regulations, employee policies, or learning materials, content forms the backbone of operations, decision-making, and end-user experiences. Organizations are challenged to generate content and structure … Continue reading