Artificial intelligence
fromInfoWorld
1 day agoGoogle gives enterprises new controls to manage AI inference costs and reliability
Gemini API introduces Flex and Priority tiers for managing AI inference workloads based on criticality and cost.
The new tracker features a simplified progress bar that shows just four stages of pizza creation. The new design was rolled out to all platforms, and there's also new Lock Screen widgets for iOS that bring the pizza chain's most famous tech feature to the Liquid Glass age.
"This is more likely to complement existing SIEMs than replace them. Early adoption will come from large enterprises already committed to Databricks, especially those seeking flexibility or cost control."
Developers have spent the past decade trying to forget databases exist. Not literally, of course. We still store petabytes. But for the average developer, the database became an implementation detail; an essential but staid utility layer we worked hard not to think about. We abstracted it behind object-relational mappers (ORM). We wrapped it in APIs. We stuffed semi-structured objects into columns and told ourselves it was flexible.
The rise of generative AI is often seen as an existential threat to the SaaS model. Interfaces would disappear, software would fade away, and existing players would become irrelevant. However, new figures from Databricks paint a different picture. Rather than undermining SaaS, AI appears to be increasing its use. This week, Databricks reported a revenue run rate of $5.4 billion, a 65 percent year-on-year increase. More than a quarter of that now comes from AI-related products.