Solution Accelerator
Large Language Models (LLMs) for Customer Service Analytics
Pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook
![nlp-for-customer-service-analytics-header-image.png](/en-website-assets/static/45b86a9c27a41ee8860fb065ae8efafa/nlp-for-customer-service-analytics-header-image1686730197.png)
![Analyze unstructured data with LLMs to improve the customer experience](/en-website-assets/static/e98cf77d0240177bff590ab1cef8a8da/nlp-for-customer-service-analytics-inbody-graphics1711441178.png)
Analyze unstructured data with LLMs to improve the customer experience
Improve insurance call center performance by automating tasks such as customer service, claims processing, and underwriting.
- Detect customer intents based on textual data to improve customer experience
- Leverage large language models (LLMs) to optimize chatbot performance
- Unify internal data with external unstructured data to minimize underwriting risk
Resources
Blog
![resource-tile-how-lakehouse-powers-llm.png](/en-website-assets/static/fef7989e0bde748cf1f01ac3fe5d34ee/resource-tile-how-lakehouse-powers-llm1686730972.png)
Blog
![resource-tile-how-lakehouse-powers-data-driven-Insurance0.png](/en-website-assets/static/5301658a26004081876b782daa984418/resource-tile-how-lakehouse-powers-data-driven-Insurance01686731086.png)
Blog
![resource-tile-claims-automation-on-databricks-lakehouse0.png](/en-website-assets/static/2b01246f831c4f28d4d0f8dded98b1c8/resource-tile-claims-automation-on-databricks-lakehouse01686731137.png)