Knowledge Graphs and Chatbots with Neo4j and IBM Watson

How long do you spend searching a large corpus to find specific pieces of information within your business domain?

Chatbots can assist humans in this expensive and time-consuming task. "Knowledge search" has a proven return on investment in applications like conversational commerce, customer support and education. However, a suitable storage model is required to represent your business domain knowledge, and handle vast amounts of insights and relationships inside this data.

Knowledge Graphs are becoming the de-facto solution for managing complex aggregated knowledge and Neo4j is the leading platform for storing and querying connected data.

In this talk, Christophe will describe a graph-centric cognitive computing pipeline and detail the process from the ingestion of unstructured text up to the generation of a knowledge graph, queryable using natural language through chatbots built with IBM Watson Conversation.