A Few Key Learnings From the Jaguar Land Rover Natural Language Processing Development Journey

Natural language processing (NLP) is a phenomenal AI technology with benefits for virtually any business. In this session, Jaguar Land Rover discusses its NLP research and engineering methodology, decision-making processes, and key learnings. The company’s Research and Innovation team is using NLP capabilities to improve knowledge and systems, and accelerate the development of high-quality, validated, and cutting-edge products going into production for internal and external clients.

Leadership in AI, connected services, data, and software development is a key element of Jaguar Land Rover’s Reimagine strategy, and we'll start with an overview of the impact NLP can have on automotive businesses and outline current Jaguar Land Rover NLP use cases. This illustrates the power of NLP to help Jaguar Land Rover create the features, technology, and unique client experiences required to deliver its vision of modern luxury, while setting new benchmarks in quality, technology, and sustainability.

Then we'll explore the development methodology established, including data preparation/cleaning, model selection, pipeline development, and monitoring/performance metrics. Key results from using BERT, CarBERT (custom domain-specific model) and GPT/Prompt Learning are discussed. Finally, we'll dive into the deployment challenges experienced while applying NLP technology to complex automotive problems and experiences using Triton Inference Server.