Smarter Storage for Better AI Answers


Very little enterprise data is used to train the large language models underlying their chatbots and other AI assistants, limiting their business value. The content-aware IBM Storage Scale addresses this challenge by uncovering the semantic meaning hidden in unstructured data so that AI assistants can automatically generate smarter answers. It leverages natural language processing (NLP) to analyze content such as PDFs, emails, and videos in real time. With no training required and no data movement, up-to-date answers are delivered directly where the data resides.

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