Pluto7, an early Google partner, has integrated Agentspace into its Planning in a Box platform Pi Agent to address inventory and demand planning challenges. Agentspace provides an Agent Development Kit (ADK) for building specialized agents and an A2A (Agent-to-Agent) communication protocol for agent collaboration. These tools facilitate a shift from static workflows to dynamic, adaptive […]
No need to bury the lede: more developers are using AI tools, but their trust in those tools is falling.
Veo 3 has seen massive global adoption with over 70 million videos created since May, and we’ve seen tremendous momentum with our enterprise customers as well. Since its preview launch on Vertex AI in June, enterprise customers have already generated over 6 million videos, showcasing the incredible demand for professional-grade, scalable AI video creation. Today,
Veo 3 and Veo 3 Fast are now generally available on Vertex AI Read More »
Ryan welcomes Mahir Yavuz, Senior Director of Engineering at Etsy, to the show to explore the unique challenges that Etsy’s marketplace faces and how Etsy’s teams leverage machine learning and AI to manage product SKUs, enrich inventory metadata, and improve both buyer and seller experiences.
That custom gift for your mom takes more work than you think Read More »
Organizations need ML compute resources that can accommodate bursty peaks and periodic troughs. That means the consumption models for AI infrastructure need to evolve to be more cost-efficient, provide term flexibility, and support rapid development on the latest GPU and TPU accelerators. Calendar mode is currently available in preview as the newest feature of Dynamic
Understanding Calendar mode for Dynamic Workload Scheduler: Reserve ML GPUs and TPUs Read More »
As the excitement around AI agents reaches enterprise customers, a critical question emerges: How can we empower these agents to securely and intelligently interact with enterprise data systems like Google Cloud BigQuery? Currently, the developers building agentic applications have been forced to build and maintain their own custom tools, a process that is slow, risky,
Anthropic’s Claude models on Vertex AI now have improved overall availability with the global endpoint for Claude models. Now generally available, the global endpoint unlocks the ability to dynamically route your requests to any region with available capacity supported by the Claude model you’re using. This helps you deploy Claude-powered applications and agents with more
The global endpoint offers improved availability for Anthropic’s Claude on Vertex AI Read More »
An overwhelming volume of threats and data combined with the shortage of skilled threat analysts has left many security and IT leaders believing that their organizations are vulnerable to cyberattacks and stuck in a reactive state. That’s according to the new Threat Intelligence Benchmark, a commissioned study conducted by Forrester Consulting on behalf of Google
Too many threats, too much data, say security and IT leaders. Here’s how to fix that Read More »
At Google Cloud Security, our mission is to empower organizations to strengthen their defenses with innovative security capabilities, all while simplifying and modernizing their cybersecurity. In a world of evolving threats and increasing complexity, we believe true security comes from clarity, not more noise. We’re excited to bring this commitment to innovation and simplification to
Your guide to Google Cloud Security at Black Hat USA 2025 Read More »
Developers building with gen AI are increasingly drawn to open models for their power and flexibility. But customizing and deploying them can be a huge challenge. You’re often left wrestling with complex dependencies, managing infrastructure, and fighting for expensive GPU access. Don’t let that complexity slow you down. In this guide, we’ll walk you through
