Rebecca is co-founder of AvenueCX, an enterprise content strategy consultancy. Her areas of expertise include content strategy, taxonomy development, and structured content. She has guided content strategy in a variety of industries: automotive, semiconductors, telecommunications, retail, and financial services.

Taxonomies in the Age of AI: Are they still Relevant?

Many contend that Artificial Intelligence (AI) negates the need for a taxonomy as AI has the ability to crawl very large data and/or content repositories and draw relationships between concepts. This presentation outlines how taxonomies and ontologies can inform AI systems and ensure the proper breadth, depth, and consistency of an AI application across content sets. It will outline recommended approach that leverages taxonomies as part of AI or machine learning projects. Discussion will also cover potential pitfalls and mitigation methods.

In this session attendees will learn:

• How taxonomy fits within the realm of AI
• How taxonomies and ontologies can be used to improve training models as part of an overall AI application.
• Practical approaches to use as they embark on AI-related projects – focusing on the use of taxonomies and ontologies to improve the performance of AI applications.