Transform how teams interact with data and AI agents through an autonomous AI-powered workspace grounded in governed context and backed by enterprise-grade agent execution.
Access enterprise data from external AI chat tools. Use Claude, Gemini, ChatGPT, and Microsoft Copilot within enterprise workflows.
Use a Teradata workspace to build analytics and AI workflows through the developer tools you already use.
One demand signal deployed across analytics, data science, and planning systems.
Inventory planning is often fragmented and inaccurate. Retail forecasts are created in disparate tools by analytics, data science, and planning teams, duplicating forecast logic. This fragmentation results in slower responses to changing demand, manual handoffs across planning cycles—and ultimately, more inventory on hand without improved service levels.
No. Workspaces provides a unified interface that connects chat, notebooks, application programming interfaces (APIs), and developer tools—so teams can work across them in one place.
Workspaces standardizes how teams interact with data and AI. It creates a consistent experience across roles and tools without forcing everyone into a single workflow or interface.
AI Studio is used to build, train, and deploy models and AI agents. Workspaces is where teams access, use, and operationalize those models and agents in day-to-day workflows.
Workspaces reduces fragmentation by ensuring teams operate on the same data, logic, and context—regardless of the tools they use—eliminating silos across analytics, AI, and application environments.
Workspaces is designed for organizations with distributed teams across analytics, AI, and application development—where multiple roles need shared access to data, models, and workflows.
Discover what best-in-class data connectivity and analytics can do for your enterprise.