No Data, No AI: Agentic Data Cloud and Data Sovereignty

Following the announcements at Google Cloud Next and Google I/O '26 companies are facing a barrage of technical announcements. How can they turn that avalanche into real business value? By digesting it.

In this series of articles, we explore what generative AI means for businesses on Google Cloud today from a strategic perspective—to move from experimentation to operational deployment at scale.

• Data: How to Map and Leverage It
• Enterprise AI: How to Scale Without Compromising
• Agentic Programming

Where do we start? At the beginning: data.

Introduction: Your AI is only as good as your data

Data is the foundation of everything. Without clean data, any AI strategy is doomed to fail.

That’s why Google introduced the Agentic Data Cloud and Knowledge Catalog to organize scattered corporate knowledge. These tools allow agents to grasp the organization’s reality, regardless of where information lives, ensuring the data fueling your AI is accurate, current, and reliable.

Knowledge Catalog (formerly Dataplex): The Universal Context Engine

Knowledge Catalog is a Gemini-powered data catalog that tackles a major corporate challenge: organizing knowledge. It’s designed to structure, map, catalog, and clean data.

Its primary job is to get your house in order: mapping information and creating a single catalog of all knowledge.

Once we know where the knowledge lives, we can put it to work. That’s where the Agentic Data Cloud comes in.

Agentic Data Cloud: Access your data, wherever it lives

Agentic Data Cloud is the world’s first agentic data cloud and a cornerstone for enterprises to effectively leverage AI.

Interoperability is a reality thanks to the Zero-ETL concept. This new integration approach lets you consume data from other platforms without manual ingestion. In short, you can extract insights wherever data resides, without moving or copying it to a centralized platform.

This technology operates across information hosted in different clouds, third-party platforms, and any format or repository:

• Breaking down information silos across multi-cloud environments.
• Extracting insights from any format or repository.
• Unified security standards for data access.

Benefits of Agentic Data Cloud

Mitigatingvendor lock in

Organizations no longer need to migrate their entire infrastructure to a single environment to leverage AI.

Accelerating data preparation

Since "no data, no AI," corporate information must be curated and structured for AI to succeed.

Solid foundations for building agents

By breaking down barriers to knowledge, companies can use the Gemini Enterprise Agent Platform to build agents that execute real business goals.

Conclusion: AI without data is just an expensive toy

At first glance, data platform updates may seem less flashy than AI features. However, this is where much of the short-term business impact lies, as it solves AI's main bottleneck: data availability and quality.

With solid pillars guaranteed by data control and sovereignty, it’s time to start building.

Together with Google Cloud, we design data platforms ready for the agentic era: secure, scalable, and prepared for enterprise AI integration.

Contact our team of experts and start leading the Agent revolution.