dbt Labs has announced the launch of new AI-powered features designed to simplify and accelerate how data analysts onboard and operate within the dbt platform. The rollout includes dbt Copilot, a tool that enables users to describe data transformation tasks in natural language, allowing even those with limited SQL knowledge to build and manage models more effectively. Complementing this is dbt Insights, an AI-powered query interface that lets analysts ask questions about their data models using either SQL or natural language, making ad-hoc analysis faster and more accessible.
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These innovations reflect dbt Labs’ broader commitment to democratizing data modeling and empowering cross-functional teams. “Our goal is to make dbt the most accessible and powerful tool for anyone working with data,” the company stated. By reducing technical barriers and improving usability, these AI-driven capabilities are expected to foster deeper collaboration between data teams and business stakeholders, enabling organizations to derive insights more quickly and confidently. With these updates, dbt Labs continues to solidify its position as a leading force in the modern data stack, focused on helping teams build trusted data products at scale.