Despite all the publicity around Big Data and Apache Hadoop, a new database deployment survey indicates traditional, structured relational database management systems (RDBMS) still reign among ...

The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools. Google has boosted its BigQuery ...

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

CommVault announced yesterday that it has formed a partnership with Informatica to deliver an integrated archiving solution that extends support to leading databases and applications, including ...

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

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI. Snowflake is adding generative ...

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

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 ...

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

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 ...

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 ...