Content related to How to Leverage LLMs for Auto-tagging & Content Enrichment
Structuring Unstructured Content: The Power of Knowledge Graphs and Content Deconstruction
Unstructured content is ubiquitous in today’s business environment. In fact, the IDC estimates that 80% of the world’s data will be unstructured by 2025, with many organizations already at that volume. Every organization possesses libraries, shared drives, and content management … Continue reading
Keys to Successful Ontology Design
Ontologies can capture highly complex ideas and business logic, provide more intuitive ways to structure information, and can ultimately power new use cases, such as semantic search, recommendation engines, and AI. While many organizations aim to leverage an ontology, they … Continue reading
Project Cortex: At the Intersection of Microsoft 365 and Artificial Intelligence (AI)
Almost every major technology company around the globe is dedicating resources to develop some form of Artificial Intelligence (AI) capabilities to help organizations accelerate access to critical information, support faster decision making, optimize customer support processes, recommend content, and help … Continue reading
Webinar: Enterprise AI Readiness
Presented by Joe Hilger, COO, and Lulit Tesfaye, Data and Information Management Practice Lead, on Wednesday, April 15th. This webinar featured first-hand experience from cutting edge global organizations that have already put Enterprise AI into production by harnessing knowledge graphs, … Continue reading
From Taxonomy to Ontology
As interest in designing personalized user experiences, recommendation engines, knowledge graphs, and the broader implementation of the semantic web grows, the need for the creation and implementation of ontologies becomes more critical. At Enterprise Knowledge, we define an ontology as … Continue reading
Why a Taxonomist Should Know SPARQL
As the Knowledge and Information Management field moves towards adopting semantic technologies like ontologies and enterprise knowledge graphs, taxonomists and taxonomy managers need to know about W3C semantic web standards including RDF, SKOS, SPARQL because data is becoming more interconnected … Continue reading
Designing Content for the Apprehensive Consumer
Content consumers, regardless of their form, be they a shopper, a reader, a creative, (the list goes on), are increasingly trepidatious about the content they choose to trust. With an ever-increasing slew of web content from a range of sources … Continue reading
KM Showcase 2020: Leveraging KM as the Foundation for AI
This presentation from Joe Hilger, Founder and COO of Enterprise Knowledge was presented at the KM Showcase 2020 in Arlington, VA on March 5th. The presentation addresses why knowledge management (KM) is the foundation for successful artificial intelligence (AI). Hilger … Continue reading
Overcoming Enterprise Taxonomy and Ontology Design Challenges
In almost every taxonomy project, certain inescapable challenges arise. Many of these are the tangible business challenges, such as gaining stakeholder buy-in, configuring systems implementation and integration, drafting a governance procedure, and ensuring the business needs are met during every … Continue reading
What’s the Difference Between an Ontology and a Knowledge Graph?
As semantic applications become increasingly hot topics in the industry, clients often come to EK asking about ontologies and knowledge graphs. Specifically, they want to know the differences between the two. Are ontologies and knowledge graphs the same thing? If … Continue reading