Clients & Case Studies

Fortune 50 Cloud Company

Building an AI Chatbot Ontology to Improve Content Search

Challenge

One of the world’s largest web services providers needed to improve support and make it easier for users to find content. The organization was in the process of building a chatbot to identify appropriate content across multiple, siloed sources and realized they first needed an ontology to support query refinement and information retrieval processes.

Solution

Factor facilitated the definition and development of the ontology infrastructure for an AI chatbot that provides query refinement from users and content discovery across multiple platforms.

OUTCOMES

  • Established internal alignment around the role of ontology
  • Defined and created an ontology in support of the MVP chatbot release
  • Developed a roadmap to address technology, content strategy, governance, and ontology development

Discovery

Reviewed user research, competitor and industry concepts, use entity extraction, and the technology capabilities of the chatbot

Design & Model

Designed ontology framework, including major classes, relationships and concept attributes

Framework

Defined the content tagging requirements, governance, and maintenance foundations necessary to support ontology and chatbot evolution

Build

Built the V1 ontology and the associated governance processes