Symbiosis of Knowledge Graphs and Conversational AI


In 2023 there will already be more than 8 billion active voice assistants worldwide. Automation is the only way how to manage all of these conversations; however, more complex conversations remain a challenge due to the lack of comprehension for the underlying semantics of the conversations. In this talk we will show how knowledge graphs can dynamically drive conversations.

This presentation will provide use cases of human—machine conversations that we dynamically build from our knowledge graphs. We will provide you with an overview of how we build the knowledge graphs, curate the knowledge, deploy the knowledge, generate intents and example data for the conversational AI and finally query the knowledge graph to run proper conversations.  We will also demonstrate real life implementations and present the next steps that we will take to offer fully automated conversations.


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