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

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