The company disclosed today that its AI products’ annualized recurring revenue has increased from $1 billion in early December to $1.4 billion. Databricks’ overall run rate stands at $5.4 billion, a ...
Boards are pushing for AI, but Nintex CTO Niranjan Vijayaragavan warns that without a foundation of traditional auto-mation ...
The Lakebase service has been in development since June 2025 and is based on technology Databricks gained via its acquisition ...
Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...
By understanding sensitive tables, costly transformations, and mission‑critical pipelines, Cortex Code is designed to helps ...
The deal positions Snowflake to compete with Databricks in AI while giving OpenAI enterprise distribution beyond Microsoft’s ecosystem.
The deal, which integrates OpenAI’s most advanced models directly into Snowflake’s data infrastructure, represents a significant tactical shift for both firms, signalling that the battle for ...
The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.
Google has launched SQL-native managed inference for 180,000+ Hugging Face models in BigQuery. The preview release collapses the ML lifecycle into a unified SQL interface, eliminating the need for ...
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 ...
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