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.

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

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

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

What data helps investment managers spot opportunities in volatile markets? We explore how alternative and unstructured data, ...

In an article published on Business Reporter, Kristen Warner, VP Marketing at Apryse Software talks about how tools with high ...

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

North America held a dominan Market position, capturing more than a 38.9% share, holding USD 6.6 Billion revenue.

Tool Type: Data Ingestion dominates the market, especially in government and large enterprises, due to its critical role in processing large volumes of data. Data Cataloguing is witnessing growth as ...

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

Powered by leading AI models, Box Extract enables enterprises to automate content-driven workflows, accelerate ...