Trying to shoehorn all data and associations (relations and foreign keys) into a tabular data structure leads to sparsity (which means running queries over them is complicated and error-prone).

French startup Neuralk-AI is an artificial intelligence company that has been working on AI models focused on tabular data. The company this week announced $4 million in funding.

Databricks has acquired Tabular, a data management startup, in its quest to build a common standard for data lakehouses.

Foundation models such as OpenAI's ChatGPT are pre-trained on vast data sets and provide a general basis for developers to build more specialist models without such extensive training.

The following master data elements and financial structure are clearly defined. It is important for finance staff to understand what each element represents, how elements are classified and are used… ...

A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained ...

Databricks has agreed to acquire Tabular, the storage platform vendor led by the creators of Apache Iceberg, in order to promote data interoperability in lakehouses.

If you’ve ever been frustrated by trying to copy a column of data—or even just a handful of cells—from within a table on a Web page, get the Copytables browser extension for Chrome-based browsers, ...