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Cloud-based development environment leverages tools such as Project IDX, Genkit, and Gemini in Firebase to build, test, and run AI applications.
Conversational data agents in Microsoft’s big data platform bring enterprise data and insights into AI-powered business processes.
Application Design Center combines Gemini Cloud Assist chat with a visual, canvas-style approach to designing and deploying cloud-native and generative AI applications.
At its Cloud Next conference, Google is showing off a new AI engine for AlloyDB that enables developers to embed natural language questions in SQL queries.
The calculation that goes into workload placement must balance technical, financial, and business needs.
Cloud providers are building castles in the sky while enterprises struggle with fundamentals. The gap between AI hype and real-world implementation contributes to misallocated resources and jeopardizes billions of dollars.
As its Developer Week kicks off, the company introduced new tools for building AI agents on the Cloudflare platform and announced the acquisition of Outerbase.
The rise of AI and GPU-focused clouds is pushing enterprises into chaos. Poor planning and fragmented strategies are jeopardizing the original innovation goals.
Microsoft doubles down on its serverless ambitions with a new version of its micro-VM host that runs WebAssembly workloads.
The flaw could allow attackers to access restricted container images, potentially leading to privilege escalation, data theft, and espionage attacks.