Use Service Ticket Intelligence and Jupyter Notebook to Get Solution Recommendations
January 29, 2021
Beginner
40 min.
Train a machine learning model based on historical service requests in order to get solution recommendations for new requests.
You will learn
- How to upload the training data
- How to train a machine learning model based on historical service requests
- How to recommend solutions for an incoming service request
- How to evaluate the performance of your machine learning model
Service Ticket Intelligence provides machine learning functionalities to effectively deal with service requests. Thereby, the service offers two main functionalities:
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The service is able to analyze the unstructured information in service requests and classify the requests into categories.
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The service is able to recommend solutions for service requests based on historical data.
The following tutorial deals with retrieving recommendations for service requests. Find more details on the Service Ticket Intelligence concepts here.
Step 1: Open the Jupyter notebook
Step 2: What is a Jupyter notebook
Step 3: Run the tutorial
Step 4: Test yourself