How Data Teams Are Building Internal AI Copilots on Their Own Data

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How Data Teams Are Building Internal AI Copilots on Their Own Data

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In this episode, Lucas and Luna explore the emerging trend of data teams building internal AI copilots—custom conversational interfaces trained on proprietary enterprise data. They examine the case of a mid-size logistics company that built a 'Supply Chain Brain' using its own shipment, weather, and inventory data, cutting query time from hours to seconds. The hosts discuss the key architectural choices: vector embeddings, RAG (retrieval-augmented generation), and the importance of data quality and governance. They also touch on the pitfalls, including hallucination risks and the need for human-in-the-loop validation. The conversation ends with a forward-looking question: will every data team eventually need to become a product team shipping conversational interfaces? #AI #DataEngineering #DataProducts #DataTeam #Copilot #RAG #VectorDatabases #LLM #EnterpriseData #Business #Technology #FexingoBusiness #BusinessPodcast #DataInfrastructure #InternalTools #Governance #Logistics #SupplyChain Keep every episode free: buymeacoffee.com/fexingo

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