Learn how to configure and use the Camunda Hugging Face Connector for analyzing customer sentiment in this 19-minute tutorial. Discover how to integrate machine learning into BPMN-based processes to improve customer interactions. Follow step-by-step instructions on creating a Hugging Face account, selecting the right natural language processing model, adding the connector to Camunda Modeler, updating workflows based on sentiment analysis confidence levels, and deploying the workflow in Camunda Modeler and Operate. Gain insights into streamlining processes, automating human tasks, and leveraging AI for process optimization in the context of Camunda 8.5.
Configuring and Using the Camunda Hugging Face Connector for Customer Sentiment Analysis
Overview
Syllabus
00:05 - Welcome + Introduction The video referenced at can be viewed here: https://bit.ly/4cJrJ0n
- The BPMN process with human decision-making
- How to integrate machine learning into a BPMN-based process
- How to create a Hugging Face account and a new access token
- How to identify which Hugging Face natural language processing model is right and preview the inputs and outputs
- How to add the Camunda Hugging Face Connector to a process model in Camunda Modeler
- How to update the workflow based on confidence levels in the sentiment analysis
- How to deploy the workflow in Camunda Modeler and Operate
- Conclusion
Taught by
Camunda
