While the Vegas skyline lit up for Google Cloud Next 2025, so did the ambitions of AI-powered enterprises. With Gemini taking center stage and announcements ranging from intelligent agents to sovereign cloud deployments, the message was clear: AI isn’t coming – it’s already here.
But as with every wave of innovation, the real value lies not in the hype — but in the execution.
At Datwave, we were there to understand how these advancements can help organizations scale, simplify, and secure their digital ecosystems. Here’s our take on what stood out and what matters.
AI Infrastructure: intelligence, not just performance
Google’s new AI Hypercomputer, featuring the seventh-gen Ironwood TPU, promises up to 42.5 exaFLOPS per pod — an engineering marvel aimed at cutting cost and latency for AI at scale. Add Cloud WAN and Rapid Storage, and it’s clear Google is building for serious enterprise workloads.
More importantly, Gemini models can now run on-prem via Google Distributed Cloud — a game-changer for sectors with strict data sovereignty and low-latency requirements. This brings Google’s AI power directly into customers’ environments, without compromise.
Gemini 2.5: the “Thinking Models” take the lead
Google introduced Gemini 2.5 Pro and Flash on Vertex AI — optimized for reasoning, speed, and budget-conscious performance. These models power everything from real-time search to voice and vision agents via the new Live API.
It’s not just about bigger models. The real win is how Gemini integrates into enterprise platforms — helping teams build smarter agents, automate processes, and extract deeper insights from data.
Agentspace and beyond: a new era of AI Automation
The concept of multi-agent systems is no longer theoretical. With Google Agentspace, the Agent Development Kit (ADK), and the Agent2Agent protocol, Google is setting the stage for interconnected, intelligent ecosystems.
Datwave is already exploring how these building blocks can power real-world use cases — from AI copilots in IT and finance, to dynamic workflow automation across business units. Learn more about Multitenant AI by Datwave, our solution to centrally govern and scale enterprise GenAI agents.
AI for security, productivity and governance
Workspace got an AI boost too, with tools like “Help me analyze” in Sheets and audio summaries in Docs — plus compliance-ready data regionalization.
In parallel, Google Unified Security and new AI-powered agents for alert triage and malware analysis are helping security teams scale visibility and accelerate response.
For us, the key takeaway is this: AI must be secure, compliant, and context-aware. That’s where Datwave helps enterprise clients lead with confidence.
Enterprise innovation, real results
More than just tech demos, Google Cloud Next ’25 brought powerful customer stories:
- Toyota saved 10,000+ hours with AI in manufacturing
- McDonald’s reimagined the drive-thru experience with Vertex AI
- Verizon boosted CX with Gemini-powered support agents
- Reddit, Sphere, and Mattel showcased bold new AI-powered engagement models
These are not pilots — they’re proof that AI is already transforming how industries operate.
From showcase to strategy
AI-first platforms. Sovereign deployments. Multi-agent systems. Next ’25 was a clear statement of where Google Cloud is heading.
At Datwave, we’re not just watching — we’re building. From Vertex AI implementations to AI agent architectures, we help companies bridge innovation with execution.
Curious to see the full scope of what was unveiled?
For a full list of announcements from the event, check out the Google Cloud Next ’25 highlights.
