The objective: to build a robust knowledge graph that supports a large-scale customer facing question-answering system.
Context: Empirical experience from the presenter’s work supporting question-answering functionality in virtual assistants (notably Amazon Alexa) and, more recent, work at Compare the Market.
Covering: The talk will cover common pitfalls and proven solutions, including insights into what works - and what doesn’t - when deploying and scaling knowledge graphs in real-world environments.