Content related to Generative AI for Taxonomy Creation
Enterprise AI Readiness Assessment
Understand your organization’s priority areas before committing resources to mature your information and data management solutions. Enterprise Knowledge’s AI Readiness Assessment considers your organization’s business and technical ecosystem, and identifies specific priority and gap areas to help you make
targeted investments and gain tangible value from your data and information. Continue reading
Natural Language Processing and Taxonomy Design
Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that processes and analyzes human language found in text. Some of the exciting capabilities that NLP offers includes parsing out the significant entities in content through a statistical analysis … Continue reading
Best Practices for Successful Metadata Governance
Metadata governance is often seen as burdensome, tough to implement, and even harder to prioritize. When organizations embark on a metadata initiative, they tend to focus on design and development rather than governance. Metadata and taxonomies are living tools that … Continue reading
Applying The Five Laws of Library Science to your Next Taxonomy or Digital Product
The rate at which we are producing new information is unprecedented. Each year our ability to capture and create information becomes easier. As a result, the need to find information becomes more and more important. Designing the structure of information … Continue reading
Enterprise AI Trends in 2020
Enterprise Artificial Intelligence (AI) entails leveraging machine capabilities to discover and deliver organizational knowledge and information in a way that closely aligns with how users look for and process information. The number of Enterprise AI applications is rapidly growing. Previously, … 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