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 ...

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 ...

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

In the dynamic world of data science, the conversion of unstructured data into structured data is a key process. This transformation is crucial for enabling more efficient data analysis and ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More We’re in the midst of a data revolution. The volume of digital data ...

We are in the midst of an unstructured data revolution – with 80% of data likely to be unstructured by 2025, according to IDC. The rise of advanced analytics and in particular artificial ...

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 ...

IDC estimates that upwards of 80% of business information is likely to be formed of unstructured data by 2025. And while “unstructured” can be something of a misnomer, because all files have some sort ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Getting enterprise data into large language models (LLMs) is a critical ...