We’ve been using GenAI for content and basic SQL queries, but I’ve been trying to find a way to use it for actual heavy lifting. Mainly for predictive modeling. Our current process for churn and demand forecasting is still stuck in giant, manual spreadsheets because none of us are data scientists. My team members have been talking about a few tools to make this work. I think Pecan AI is one, if I remember correctly. It seems like they’re using GenAI as the ‘architect’ to build the actual predictive engine based on a conversation. It’s a cool concept, tell the AI what you want to predict, and it builds the model for you. Has anyone previously experimented with similar tools? I just want to find out if it’s actually production-ready or if it’s still better to just hire a freelancer to build a model the old fashioned way. submitted by /u/georgelares
Originally posted by u/georgelares on r/ArtificialInteligence
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