Solution Accelerator Series | Large Language Models (LLMs) for Customer Service Analytics

Tushar_Parekar — Tue, 09 Jun 2026 13:21:15 GMT

Customer service teams often need to work with large volumes of unstructured data such as call transcripts, chat messages and other text. The Large Language Models (LLMs) for Customer Service Analytics Solution Accelerator shows how NLP, transformers and LLMs can help insurance teams detect customer intents from text, support chatbot interactions, and use unstructured data to improve customer service, claims processing and underwriting.

With this Accelerator, you get

Ready-to-use resources: pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook
Analyze unstructured data: work with text and audio-derived customer data to identify patterns and customer needs.
Detect customer intents: classify customer intent from IVR streams or early customer interactions at scale.
Support chatbot experiences: use LLMs to improve chatbot understanding and routing for customer service use cases.
Bring more data into decisions: combine internal structured data with internal or external unstructured data to support better underwriting and service workflows.

🔗 Launch Solution Accelerator 👈

topic Solution Accelerator Series | Large Language Models (LLMs) for Customer Service Analytics in Announcements

Solution Accelerator Series | Large Language Models (LLMs) for Customer Service Analytics