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

Unstructured data isn’t an asset by default — it’s a liability until CIOs govern, lifecycle and curate it for AI-ready value.

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

Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data. Unlike ...

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

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 ...

Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.

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Applying gen AI to solve useful problems at scale requires a paradigm shift in how we think about data management and integration. Krishna Subramanian, COO and co-founder of Komprise, walks through ...

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 ...