This work highlights how Trane Technologies is applying Large Language Models (LLMs) alongside broader Natural Language Processing techniques to enhance the interpretation of unstructured warranty claim narratives. The approach enables clearer insight extraction from text based warranty claims, supporting more consistent categorization and earlier visibility into emerging product issues.
As Lead Data Scientist at Trane Technologies, Krishna architects AI-driven solutions for complex business problems. He holds Master's degrees in Statistics (Texas A&M) and Industrial Engineering (NC State).
Senior Engineering Manager, Data Science, Trane Technologies
Wendy Foslien is a Senior Engineering Manager for Data Science at Thermo King, leading analytics initiatives to enhance product development and improve product quality in transport refrigeration/HVAC systems. She specializes in extracting insights from connected industrial system... Read More →
