Google Cloud is Unveiling a New Set of AI Agents and AI-Native Foundations to Redefine Enterprise Data

Google Cloud is introducing a portfolio of AI tools, including five new AI agents designed to help developers, analysts, and data scientists with tedious tasks.

Google Data Cloud provides agents with a complete, real-time understanding of the business, transforming it from a collection of processes into a self-aware, self-tuning, reliable organization.

Google is delivering major innovations across three key areas that bring this vision to life:

• A new suite of data agents: specialized AI agents designed to act as expert partners for every data user, from data scientists and engineers to business analysts.
• An interconnected network for agent collaboration: a suite of APIs, tools, and protocols that allow developers to integrate Google agents with their own agents and AI efforts creating a single, intelligent ecosystem.
• A unified, AI native foundation: a platform that enables intelligent agents by unifying data, providing persistent memory, and embedding AI-driven reasoning.

Google Cloud is introducing the Data Engineering Agent (Preview) in BigQuery to simplify and automate complex data pipelines. Users can now use natural language prompts to streamline the entire workflow, from data ingestion from sources such as Google Cloud Storage to performing transformations and maintaining data quality.

Google Cloud is reimagining an AI-first Colab Enterprise Notebook experience available in BigQuery and Vertex AI, featuring a new Data Science Agent (Preview). Powered by Gemini, the Data Science Agent triggers entire autonomous analytical workflows, including exploratory data analysis (EDA), data cleaning, featurization, machine learning predictions, and much more. It creates a plan, executes the code, reasons about the results, and presents its findings, all while allowing you to provide feedback and collaborate in sync.

For business users and analysts, last year Google Cloud introduced the Conversational Analytics Agent, empowering users to get answers from their data using natural language. That agent is getting an upgrade with the Code Interpreter (Preview). This enhancement supports the many critical business questions that go beyond what simple SQL can answer. Powered by Gemini’s advanced reasoning capabilities, and developed in partnership with Google DeepMind, the Code Interpreter translates complex natural language questions into executable Python code.

The agentic ecosystem is not a closed loop; it's an open platform for builders. Google Cloud’s first-party agents provide powerful, out-of-the-box capabilities as well as foundational building blocks including APIs, tools, and protocols to build custom agents, integrate conversational intelligence into existing applications, and orchestrate complex, multi-agent workflows that solve unique business problems.

To enable this, the company is launching Gemini Data Agents APIs, with first being the new Conversational Analytics API (Preview). This API provides the building blocks to integrate Looker’s powerful natural language processing and Code Interpreter capabilities directly into your own applications, products, and workflows. This allows you to create unique, engaging, and accessible data experiences that meet your specific business needs.

“By bringing together a new workforce of intelligent agents, enabling them to collaborate within an open and interconnected network, and grounding them in a unified data cloud that erases the line between operational and analytical worlds, we are providing a platform that lets you be an innovator, not just an integrator. This is a fundamental shift in how your organization will interact with its data, moving from complex human-led analysis to a powerful partnership between your teams and intelligent agents. The agentic era is here. We are incredibly excited to see what you will build, and we invite you to join us on this journey to redefine what's possible with data,” Yasmeen Ahmad, managing director, Data Cloud, Google Cloud, wrote in a statement.

For more information about this news, visit https://cloud.google.com.