Understanding unstructured data in the context of AI [Video]

What’s the best way to store, search, and analyze content not based on their technical characteristics but on their meaning?

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The volume of data being created today is truly staggering. IDC projects that global data will reach 400 zettabytes (400 billion terabytes) by 2028, with 90% of that data classified as unstructured data. The proliferation of so much data, and so much unstructured data, raises two primary questions: How do we manage it all, and how can we use it to power the next generation of AI applications?

Here, we’ll dive into what unstructured data is, how today’s leading organizations leverage it to power business, and what we can expect as the amount of data continues to grow exponentially.

A primer on different data types

The traditional form of data that most people are familiar with is structured data, which fits snugly into table-based formats. For years, structured data has been the foundation of traditional database …