Agentic AI Takes Center Stage

Tony Boun

Tony Boun

Director of Product Innovation

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Google Cloud Next ’25 highlighted a clear direction: Google is creating impact through a shift to practical, integrated AI — with agentic AI at the center. This isn’t just about making AI smarter; it’s about empowering us to collaborate with AI in ways that redefine workflows to imagine and realize new possibilities.

Image from Google Next '25 at the Sphere in Las Vegas
Thomas Kurian, CEO, Google Cloud presents at the Sphere in Las Vegas at Next '25

Democratizing AI: From Foundational Models to Everyday Tools

The tools we use (and the solutions we build) are about to get a whole lot smarter. Even better, Google’s clear focus on democratizing AI means that these tools are going to become more accessible to all. The sheer number of advancements announced is staggering — so let’s focus on the biggest opportunities.

Gemini 2.5 brings power and versatility

Gemini 2.5 isn’t just an upgrade; it’s about making AI accessible to everyone. The intelligence-to-cost ratio — achieving 24x higher efficiency — signals a new era of AI affordability and accessibility. This is meaningful for our clients in both the public and private sectors. Highly regulated industries will also benefit thanks to Google Distributed Cloud (GDC) pushing the boundaries of secure, on-premises AI deployment. Lastly, workspace integrations allow for the quick application of AI to everyday tools, and the Live API opens up new avenues for innovative client solutions.

Vertex AI delivers impactful agentic applications

Vertex AI is becoming a comprehensive platform for building and deploying agentic AI applications. With new models, multi-agent capabilities, and open-source compatibility via Agent Development Kit (ADK) and Agent2Agent (A2A) we can create solutions that were previously unimaginable — delivering meaningful outcomes faster for our clients.

BigQuery and Looker transform how we extract insights from data

AI-driven enhancements in BigQuery and Looker unlock deeper insights from data, including unstructured data, through specialized agents and natural language queries. This enables real-time, actionable insights, crucial for rapid decision-making, and builds towards autonomous data foundations. Here are two incredible examples that showcase its potential:

  • AI Agents for Data Engineering: Imagine a new data source hitting BigQuery, and an AI agent instantly analyzes its schema, suggests business terms, and automates metadata generation. It’s like having a tireless, detail-oriented teammate who eliminates the data cataloging grind.
  • AI Agents for Data Science: Picture a data scientist exploring customer churn, with an AI agent suggesting features, generating code, and recommending models on the fly. During the keynote, we even saw Gemini-powered agents build automated data science workflows in seconds, analyzing hundreds of dimensions to find key insights.

Google Cloud Next ’25 has given us a glimpse of the future — a future where AI is deeply integrated into our workflows and everyday life.

Agentic AI revolutionizes workflows with multi-agent systems

This is the big one. Agentic AI isn’t just about individual AI assistants; it’s about creating intelligent systems that can collaborate. Google’s advancements in multi-agent systems and agent-to-agent protocols are key here. These AI agents can coordinate complex tasks, negotiate resources, and dynamically adapt to changing conditions. The possibilities are endless, and constantly evolving. But for now, this means:

  • Agents that can collaborate in complex workflows: AI agents working together to solve problems, rather than in isolation. Agent2Agent (A2A) protocols allow for the automation of complex multi-step processes that require multiple AI agents to collaborate.
  • Dynamic and real-time adaptation: Multi-agent systems that can respond to real-time changes and optimize performance.
  • Interoperable agent frameworks: Google’s agent-agnostic approach, allows for seamless communication and collaboration between agents built on diverse foundational models and frameworks. The potential of a flexible and scalable multi-agent ecosystem means more autonomy and productivity with reduced costs — helping to break down silos and boost innovation.

The Future is Intelligent

Google Cloud Next ’25 has given us a glimpse of the future — a future where AI is deeply integrated into our workflows and everyday life. And, this is just the beginning. Google’s comprehensive push towards AI-driven transformation is a call to action.

At Nerdery, we’re not just observers; we’re innovators and builders. And, we’re excited to tap into these advancements to serve our clients and shape the future for the better. Let’s build it together.

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