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Content related to Agile Roadmaps for Product Selection

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

Taxonomy and Information Architecture for the Semantic Layer

There is a growing interest in implementing a semantic layer as part of a knowledge management strategy as organizations seek to contextualize and connect their business data and information in meaningful ways. A semantic layer is more than a collection … 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

Driving Behavioral Change for Information Management through Data-Driven Green Strategy (EDW 2024)

Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented “Driving Behavioral Change for Information Management through Data-Driven Green Strategy” on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida.  In … Continue reading

AI-Augmented Content Analysis to Remediate Duplicate Content

A global energy company with operations in over 60 countries began actively working to reduce their carbon emissions to achieve Net Zero by 2050. Enterprise Knowledge (EK) evaluated and refined their strategic roadmaps, which yielded a plethora of new initiatives that built on their existing efforts. Continue reading

Synergizing Knowledge Graphs with Large Language Models (LLMs): A Path to Semantically Enhanced Intelligence

Why do Large Language Models (LLMs) sometimes produce unexpected or inaccurate results, often referred to as ‘hallucinations’? What challenges do organizations face when attempting to align the capabilities of LLMs with their specific business contexts? These pressing questions underscore the … Continue reading