Improve Salesforce Leads with OpenAI using Databricks

In this tutorial, we demonstrate an end-to-end example of how Databricks can be used to automate lead processing and import it into Salesforce. We use a Databricks notebook to extract lead data from a CSV file, clean and standardize the data using OpenAI, authenticate into Salesforce, and import the cleaned data using the Salesforce bulk API. The tutorial includes steps for installing necessary Python libraries, handling credentials, and reusing code to call OpenAI. The final part involves verifying the imported leads in Salesforce. We emphasize the simplicity of using Databricks and its support tools for troubleshooting code.
For a copy of the code referenced in this video, please reference here: / salesforce-lead-proces... .