Content related to Ivanov and Midkiff to Speak at the Cognitive Computing Summit 2018 in Boston, MA
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
Optimizing Historical Knowledge Retrieval: Standardizing Metadata for Enhanced Research Access
Enterprise Knowledge (EK) helps a federal research and development center standardize their descriptive metadata to support content findability. 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
The Role of Taxonomy and Ontology in Semantic Layers
Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and … Continue reading
Designing IA for AI: Information Architecture Conference 2024
On April 12, Chris Marino and Guillermo Galdamez presented “Designing IA for AI” at IAC24. With the explosive popularity of ChatGPT, organizations are throwing massive budgets and executive attention at the implementation of AI technologies. Making these solutions work for … Continue reading
Generative AI for Taxonomy Creation
There is a growing awareness and appreciation for taxonomies as information and knowledge management tools. Taxonomies – structured sets of terms tagged to content – support search, information discovery, browse navigation, news alerts and feeds, content recommendation and personalization, content … 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
How to Prepare Content for AI
Artificial Intelligence (AI) enables organizations to leverage and manage their content in exciting new ways, from chatbots and content summarization to auto-tagging and personalization. Most organizations have a copious amount of content and are looking to use AI to improve … Continue reading