As data sources and volumes grow, and as a data-driven orientation is increasingly deemed to be a competitive necessity, the war between platform vendors to provide the primary repository for our data ...

The new solution eliminates wasted costs in Databricks — by using Sedai’s patented AI to understand and safely right-size clusters without manual tuning. Traditional tools provide recommendations for ...

Databricks has unveiled Test-time Adaptive Optimization (TAO), a new fine-tuning method for large language models that slashes costs and speeds up training times. Databricks has outlined a new ...