Findability and Classification
The need to classify and categorize corporate information has never been greater. The proliferation of information channels, sources and delivery platforms make managing information […]
Using a Taxonomy to Explain AI
MIT researchers are striving to improve the interpretability of features so decision makers will be more comfortable using the outputs of machine learning models. […]
Finding the Way with Taxonomies
Most organizations today face challenges as they accumulate volumes of data on premises and in the cloud. How do they begin to locate what’s […]
Search with Results
Search engines have come a long way in their ability to help you find desired information within an enterprise. Technologies vary, but no matter […]
Using Taxonomies in Human Resources
Taxonomies have become increasingly important to human resources as the profession has become more sophisticated in understanding the value of data and using data […]
Making Data Accessible
Data sharing has become an increasingly important topic in the business world. Traditionally defined as a concept in the world of academic research, data sharing […]
Data Governance and Taxonomies
The continuous push and pull of new regulations, projects and analytics investments create constant disruption for organizations. The volume of data created and managed […]
Taxonomies and Learning
Learning can be ethereal and abstract, at the same time and separately. When it comes to employees, organizations need to remember the variations of […]
Semantic Enrichment in Today’s Digital World
In the digital world, semantic technologies and procedures automate the classification of digital content and enable the assignment of content to specific topic areas. Semantic methods […]