#unstructured-data

#unstructured-data

So the thing that we think about all day long - and what our focus is at Box - is how much work is changing due to AI. And the vast majority of the impact right now is on workflows involving unstructured data. We've already been able to automate anything that deals with structured data that goes into a database.

Many customers say, 'I don't really have an AI problem, I have a data problem.' They need to prepare their data. Files here, images there, videos elsewhere - they have these legacy platforms that don't support unified access. The challenge becomes quite complex because most enterprise data is unstructured: contracts, invoices, videos, presentations, and it's scattered across different systems. The real value comes from bridging unstructured and structured data.

Surveys only capture what you ask and only from those willing to answer. If you rely on traditional listening methods, you will never hear from the silent majority. You could be missing out on your customers' real, unfiltered voice. Key signals - like emerging trends, shifting sentiment and competitor threats - are often buried in the countless conversations happening every day. With your customer data scattered across CRM systems, social tools and automation platforms,

As with anything, having the correct setup is critical. For AI, that means establishing a robust, centralized data platform - combining both structured and unstructured datasets - so brands can improve the relevance of their communications and enhance customer experiences. Accuracy and governance are fundamental Whether you're setting up a simple customer segmentation or a complex lifetime value model, the core tenets of strong data foundations remain the same.