[Case Study] AI-Ready Transformation of Data Infrastructure
The workload for human verification has decreased! AI project "Three Typical Problems and Solutions"
The hallucinations have decreased, and the manual verification workload by "people" has reduced. The reference presentation rate has improved, and the accuracy of responses has increased. We will introduce a case of "AI-Readiness" that addresses the concern of "image data not being searchable." In our support for AI projects in the manufacturing industry, a common issue we hear is, "We have attempted to implement generative AI and build RAG, but we are not getting the desired output." By translating complex internal documents into a "system language" that AI can understand through "AI-Readiness," we can build a pipeline for data preprocessing. This enables existing RAG and AI models to decode input data in detail, leading to solutions. [Challenges] ■ Projects are halted due to multiple factors such as data deficiencies, evaluation, and improvement cycles. ■ Image data is not searchable. *For more details, please download the PDF or feel free to contact us.
- 企業:フライウィール
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