Teradata Introduces Enterprise AI Data Analyst Agent on Google Cloud Marketplace

Teradata has expanded its artificial intelligence portfolio with the launch of an enterprise-grade Data Analyst AI agent, now available on the Google Cloud Marketplace. The new offering is designed to help organizations bring autonomous analytics directly into their cloud environments, simplifying how businesses extract insights from complex data.
The AI agent is built to function as a virtual data analyst, capable of interpreting queries, managing analytical workflows, and delivering insights through natural language interactions. By operating within the cloud ecosystem, it allows enterprises to analyze large datasets without moving sensitive information across platforms, addressing both performance and data governance concerns.
According to Teradata, the tool is aimed at enterprises that want to scale analytics faster while reducing dependence on manual data processing. The agent can support multi-step analytical conversations, generate insights in real time, and integrate with existing enterprise data systems hosted on Google Cloud.
A key focus of the launch is security and control. The AI agent is designed to work within enterprise-grade governance frameworks, ensuring compliance with organizational policies and regulatory requirements. This makes it suitable for industries such as finance, healthcare, telecommunications, and retail, where data accuracy and protection are critical.
The release also reflects a broader shift in enterprise analytics, where AI-driven agents are increasingly used to automate routine analysis and support decision-making. By making the agent accessible through the Google Cloud Marketplace, Teradata enables businesses to deploy and scale the technology more easily within their existing cloud infrastructure.
With this launch, Teradata is positioning itself at the intersection of cloud computing and autonomous analytics, signaling a future where AI agents play a central role in how organizations interact with and understand their data.
