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Teradata aims to make agentic execution of multistep data work more efficient

Teradata aims to make agentic execution of multistep data work more efficient
AI Summary

Teradata is adding a context engine, an execution layer, and reusable agent skills to Tera, its AI-powered workspace for enterprise data and AI tasks, in order to make agentic execution of multistep workflows more efficient. Tera was initially introduced in May as part of Teradata’s Autonomous Knowledge Platform. The new additions are designed to cut unnecessary model and tool calls while preserving business context and automatically matching each task with the right data, tools, models, and ski

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