Cloud platforms, services, and infrastructure
Following the visionary themes of Google Cloud Next '25, this year focuses on practical strategies for implementing AI across enterprises, addressing challenges, and fostering integration for enhanced efficiency and impact.
For AI agents to respond swiftly and effectively in business, they require reliable reasoning that combines historical data with real-time operational insights. This integration is crucial for enhancing decision-making processes and driving efficiency.
At Google Cloud Next, we introduced an upgraded Gemini Cloud Assist, designed to transform Google Cloud operations by automating tasks and streamlining workflows, enabling users to focus on core objectives.
Businesses are evolving from generative AI for basic inquiries to autonomous agents capable of perception, reasoning, and proactive decision-making. Scaling these advanced agents within outdated infrastructures reveals significant structural challenges.
Traditional lakehouses are designed for reporting, but the rise of AI agents calls for an adaptive architecture that meets high-velocity, multimodal requirements. This evolution towards an AI-native foundation is essential for maximizing data usability and performance in future applications.
The Google Cloud Knowledge Catalog transforms data management by providing AI agents with essential business semantics, moving beyond classic manual inventories. This evolution allows for richer context and improved data utilization across diverse applications.
Google Cloud Next unveils advancements in storage technology that boost performance, intelligence, and management, optimizing data accessibility and utility for AI applications.
At Google Cloud Next, we unveiled updates to Google Distributed Cloud, integrating Gemini and our advanced AI stack directly with your data, eliminating the need for compromise in data accessibility and processing.
The rise of agentic AI is shifting operations from human speed to machine speed, stressing traditional technology infrastructures. This transformation necessitates foundational upgrades to support efficient and responsive systems.
With 400 million small and midsize businesses worldwide, including 36 million in the U.S., these enterprises contribute significantly to global employment. Google Cloud AI is enabling them to harness advanced technology to enhance operations and drive growth.
To thrive in the agentic era, businesses must rethink their data strategies, prioritizing agent-first workloads that enhance proactive decision-making over traditional reactive intelligence.
The integration of Looker's analytical capabilities with Google’s Agentic Data Cloud offers unprecedented opportunities to reshape data modeling, interaction, and actionable insights. This week at Google Cloud N...
At Google Cloud Next ‘26, we'll showcase the enhancements to Google Kubernetes Engine (GKE), focusing on improved performance, efficiency, security, and scalability for handling complex workloads.
Cloud Run provides flexible on-demand compute resources with pay-per-use pricing, enabling developers to efficiently manage various workloads from large-scale apps to AI models. The platform has seen significant growth in external request handling, enhancing its capabilities for diverse applications.
AI is shifting from mere query responses to advanced reasoning and proactive actions. To excel in this emerging landscape, businesses must invest in computing infrastructure tailored to meet these evolving demands.
At Google Cloud Next, we're unveiling a suite of compute enhancements designed to boost performance and reduce costs for essential general-purpose and AI workloads, addressing the demands of an increasingly intelligent landscape.
OpenAI's latest SDK introduces sandbox execution, enabling enterprise governance teams to implement automated workflows while managing risk effectively. This feature supports teams in transitioning projects from prototype to production with greater confidence.
At CadenceLIVE this week, Cadence Design Systems unveiled two AI partnerships, deepening its existing collaboration with Nvidia while also showcasing new integrations with Google Cloud to enhance design efficiency.
Commvault AI Protect provides enterprise cloud environments with a crucial undo capability for AI agents, enabling autonomous software to navigate infrastructures while preventing accidental deletions.
A financially driven cybercrime group has launched a worm targeting Iran, exploiting weak cloud service security to spread and erase data on compromised systems.