Abstract: Efficient SQL Query Optimization (QO) is a fundamental aspect of database management systems, aimed at enhancing query performance and reducing resource consumption typically involves ...

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

The query optimizer is a crucial component in a relational database system and is responsible for finding a good execution plan for a SQL query. For cloud database service providers, the importance of ...

Chubb has introduced an artificial intelligence-powered optimization engine within Chubb Studio, its global technology platform for embedded insurance distribution. The global insurer says that the ...

Chubb has introduced an artificial intelligence-powered optimization engine within Chubb Studio, its global technology platform for embedded insurance distribution. The new feature leverages ...

Search is changing faster than ever – and 2026 may be the year it fully breaks from the past. Over the last year, AI has reshaped how people discover, decide, and convert, collapsing the traditional ...

In a modern enterprise data environment, the increasing volume of data, distributed architecture, and complex application dependencies challenge traditional query-tuning methods. Observability ...

If I remove the OR condition inside the parhentesis works. My first thought is to debug the execution and at a certain point the query is "flatten". Not sure why, maybe for index optimization? In the ...

As SQL development increasingly becomes part of full-stack workflows, developers are looking for ways to simplify their tooling without compromising capability. While SQL Server Management Studio ...