Expert.ai unveiled its “Enterprise Language Model for Insurance” – ELMI, a domain trained language model, to help insurers reach their process automation and digital transformation goals with the highest accuracy. By simplifying and powering the interaction with language data within the expert.ai Platform for Insurance, Insurers can access solutions that scale and take advantage of deep insurance domain expertise combined with the best and most cost-effective attributes of Large Language Models (LLMs) to automate core processes.
Through the expert.ai Platform for Insurance, ELMI supports key capabilities, including:
- Generative Summarization: generate accurate summaries, condensing vast amounts of claim or policy information into concise insights, saving time and accelerating straight through processing or human review activities.
- Zero Shot Extraction: extract crucial insurance data from structured/unstructured, handwritten/typed, good quality/bad quality sources with accuracy and automatically normalize output formats and add medical annotations such as ICD 9/10 medical codes.
- Generative Q&A: answer questions quickly so underwriters and claims handlers can extract meaningful insights from proprietary case files by asking questions using natural language queries.
- Cloud-agnostic: Offering the flexibility to deploy on any cloud infrastructure or on-premises, ELMI deployments easily meet insurer’s varying requirements.