Most enterprise data lives outside databases. Here's why that's holding AI back — and how connecting context can change it.

What’s the best way to store, search, and analyze content not based on their technical characteristics but on their meaning? The volume of data being created today is truly staggering. IDC projects ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Artificial Intelligence (AI) is transforming industries by automating tasks and generating insights, but its true effectiveness depends on high-quality, relevant data. Structured data is the most ...

Enterprises want more value from their data, but research from Salesforce shows how silos, gaps in strategy and low data ...

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Multimodal data pipeline startup Datavolo Inc. today revealed its ambitious plans to transform the way data is fed into artificial intelligence systems, after closing on more than $21 million in ...

Let's start by examining those two broad-brush data categories: structured and unstructured. Structured data refers to the data resident within relational databases, often presented via customer ...

The Data Cloud has rightly been one of Salesforce’s biggest product focuses this year. As the company’s World Tour series of events hit New York yesterday, the latest news was that it will soon be ...

Allowing quality data in can lead to a better understanding of an organization. Here are 5 steps to improve your organization's data quality for unstructured data. Image: momius/Adobe Stock Finding ...