Merge lists even with typos and inconsistent names. Tune the similarity threshold, use a transform table, and audit results ...

Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...

Simply increasing website traffic is just one part of the puzzle of growing a business-to-business (B2B) ecommerce brand; the other is optimizing your buying experience so accounts move from first ...

According to Jeff Dean on Twitter, concrete examples of various AI performance optimization techniques have been provided, including high-level descriptions from a 2001 set of changes. These examples ...

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 ...

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 ...

What are “near me” searches and why do they matter? “Near me” searches are high-intent, proximity-driven queries that include language like “near me” or “nearby” to land local search results. For ...

ABSTRACT: This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in modern work environments that require processing large amounts of ...