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Redbird supercharges analytics pipeline with AI agents, handles 90% of workload
Using natural language prompts, Redbird AI agents can handle all analytical tasks, right from data collection to reporting.
We have invested significant R&D into fusing the power of LLMs with Redbird’s robust end-to-end analytical toolkit in the form of AI agents that enable users to finally achieve self-serve, conversational BI that runs on their organization’s data,” he said in a statement. Earlier this year, the company expanded this work with the launch of a conversational interface, allowing users to ask business questions in natural language and receive insights and reporting outputs in real-time. As enterprises double down on their data efforts, going beyond text-to-SQL — adopted by Dremio, Snowflake and many others – and streamlining the analytics pipeline end-to-end with AI agents could be a great way to save time and resources.
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