"He says the cloud has changed everything, with the cloud model of working providing a blueprint for a single pool of storage accessible from anywhere. He also says enterprises need to classify, tag and curate data to build rich metadata that can boost corporate knowledge of and access to data, as well as to access it for artificial intelligence (AI), such as via Model Context Protocol (MCP) connectors."
"It's all of that work product. So, if you are an architecture firm, it's design drawings. If you're a manufacturing firm, it's design drawings and simulations. All of that ends up in the files, in the file systems of the enterprise. And in every organisation, in addition to that, there's the classic office documents - Excel and PowerPoints and Word documents and PDFs. Those are generic across all industries."
Unstructured data comprises files on file servers and NAS, including industry-specific work product like design drawings and simulations alongside office documents such as Excel, PowerPoint, Word and PDFs. Scale is the main obstacle to extracting value from this vast repository. Traditional approaches create silos that hinder access and control. Enterprises require a single, cloud-style pool of storage accessible from anywhere. Data must be classified, tagged and curated to build rich metadata that enhances corporate knowledge and access. Storage must enable controlled access while providing connectors (for example MCP connectors) to plug data into AI and analytics tools for insight at scale.
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