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AI relies on high-quality, structured data to generate meaningful insights, but many businesses struggle with fragmented or incomplete product information. Scalability is another challenge, as AI models must continuouslylearn and adapt to new product data, customer behaviors, and market trends while maintaining accuracy and relevance.
We recently worked with a large insurance company that wanted to automate its dataextraction processes. So, our team developed a companion bot, which now helps process multiple documents, extracting critical information like risk, eligibility, coverage and pricing details.
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