The article emphasizes the potential of this technology in automating and enhancing the insurance adjustment process. It can help in damage assessment, evidence documentation, claim validation, loss estimation, investigation, and claim settlement negotiations. The use of Graphlit's conversational knowledge graph can also enable the creation of AI-enabled chatbots or copilots, further automating the process. The article concludes by inviting readers to explore the possibilities of Graphlit and GPT-4 Vision in their applications.
Key takeaways:
- OpenAI's GPT-4 Vision model enables the analysis of visual content, such as images and videos, providing a more comprehensive understanding of the input.
- Graphlit can be used to build an image analysis pipeline and AI copilot for insurance companies, using the GPT-4 Vision model to provide detailed descriptions and insights from images.
- The use of images in insurance adjustment can be beneficial in several ways, including damage assessment, evidence and documentation, claim validation, loss estimation, investigation and analysis, and claim settlement negotiations.
- Graphlit's Multimodal Retrieval Augmented Generation (RAG) can be used to emulate the role of an insurance adjuster, providing detailed analysis and insights from the extracted data.