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 you need to know about Google Cloud Next data announcements: BigLake support for Apache Iceberg, Hudi and Delta Lake; BigQuery adds unstructured data, Apache Spark and DataStream support; Looker ...

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 ...

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 ...

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

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 ...

The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and the data ...