The modern data stack was built for humans asking questions. Google just rebuilt its for agents taking action.

The modern data stack was built for humans asking questions. Google just rebuilt its for agents taking action.

Google Unveils Agentic Data Cloud, Revolutionizing Enterprise Data Architecture

Google announced the Agentic Data Cloud at Cloud Next on Wednesday, marking a significant shift in the way enterprises approach data architecture. The new platform is designed to cater to the increasing presence of AI agents that act autonomously on behalf of businesses around the clock, a trend that is breaking down traditional data architecture.

From Human Scale to Agent Scale

Historically, data platforms have been optimized for human-scale operations, focusing on reporting, dashboarding, and some forecasting. However, with AI agents taking actions directly on behalf of the business, data platforms must evolve into systems of action. Google's Agentic Data Cloud is built to address this need, enabling enterprises to activate all their data with AI, including both structured and unstructured data.

Key Features of Agentic Data Cloud

The Agentic Data Cloud has three pillars: the Knowledge Catalog, the cross-cloud lakehouse, and the Data Agent Kit. The Knowledge Catalog automates semantic metadata curation, inferring business logic from query logs without manual data steward intervention. The cross-cloud lakehouse allows BigQuery to query Iceberg tables on AWS S3 via a private network with no egress fees. The Data Agent Kit drops MCP tools into VS Code, Claude Code, and Gemini CLI, enabling data engineers to describe outcomes rather than write pipelines.

Impact on Swiss SMEs and Finance

The introduction of Agentic Data Cloud has significant implications for Swiss SMEs and the finance sector. As AI agents become increasingly prevalent, businesses will need to adapt their data architecture to take advantage of the new capabilities. This will require a significant investment in new technologies and skills, but it also presents opportunities for innovation and growth. Swiss banks and financial institutions, in particular, will need to consider how to integrate Agentic Data Cloud into their existing infrastructure to stay competitive.

What to Watch

As Agentic Data Cloud becomes more widely available, it will be interesting to see how it is adopted by Swiss SMEs and financial institutions. Will they be able to take advantage of the new capabilities and integrate them into their existing infrastructure? How will this impact the Swiss data landscape, and what new opportunities will arise? As Google continues to develop and refine Agentic Data Cloud, it will be essential to monitor its progress and assess its potential impact on the Swiss business community.

Source

Original Article: The modern data stack was built for humans asking questions. Google just rebuilt its for agents taking action.

Published: April 22, 2026

---

Disclaimer: This article is for informational purposes only and does not constitute financial advice. Consult a licensed financial advisor before making investment decisions.