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While Google Cloud Next showcased plenty of agentic magic, the most encouraging announcements centered on making agents more manageable and trustworthy.
With AI at its core, Google's annual developer conference will showcase major advancements in its Gemini models, alongside updates to Android 16 and a deeper look into its Project Astra.
Hybrid reasoning model allows developers to turn thinking on or off and set thinking budgets to balance quality, cost, and latency.
It’s about collaboration, not control, recognizing that enterprises need solutions that work across platforms and unique business situations.
The latest advances and the future of Google Cloud Platform and cloud computing in general are on display at Google Cloud Next ’25 (April 9-11, in Las Vegas).
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 flaw could allow attackers to access restricted container images, potentially leading to privilege escalation, data theft, and espionage attacks.
Gemini 2.5 Pro Experimental is Google’s most advanced model for coding, math, science, and complex tasks, Google said.
With a holistic view geared toward preventing security breaches and integration with all major cloud providers, Wiz is a definite asset to the Google ecosystem.
Google has created a dazzling portfolio of cutting-edge technologies to meet its needs. You probably need something different.
New filtering and observability functionality is similar to that of PostgreSQL, but Google has optimized it for performance.
Vertex AI RAG Engine streamlines the complex process of retrieving relevant information from a knowledge base and feeding it to an LLM, Google said.
How AI and Data Observability Are Transforming Manufacturing
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