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

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

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 ...

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 ...

The enterprise data landscape is undergoing a fundamental shift as the importance of unstructured data grows in parallel with the rise of generative AI and agentic workflows. Data platforms are ...

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

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 ...

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Ataccama, the data trust company, is making its unified data trust platform, Ataccama ONE, on the Snowflake Marketplace, including an integration with Document AI—enabling enterprises to turn ...

Many enterprises are moving towards use of data lakes to help in managing increasing amounts of information. Such large repositories allow organisations to gather and store structured and unstructured ...