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.
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**Three Steps to AI-Readiness** ■ Information Sorting: Define criteria for each item in the materials and create a common format for translation into system language, standardizing it. ■ Decoding and Formatting by AI: Use the proprietary multimodal AI "Conata Data Agent" to read the contents of images, diagrams, tables, etc., and rewrite them into system languages such as JSON or Markdown. ■ Creating an Easily Searchable Database: Implement RAG optimization processes such as tagging structured data and vectorization to store data in a data warehouse. *For more details, please download the PDF or feel free to contact us.*
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Our company develops and provides solutions utilizing data and artificial intelligence, and offers consulting related to data and product development. We provide a data utilization platform called "Conata," which transforms siloed, personalized, and unstructured data that companies face into a format that is easier for AI to handle. We aspire to be a "flywheel" that accelerates the proactive use of data and artificial intelligence by businesses and individuals, enhancing the efficiency of work and tasks.