The concept of using natural language to query data and build machine learning models that identify profitable customer segments is explored in a post on Towards AI. By eliminating the need for SQL queries or coding skills, natural language processing (NLP) and advanced artificial intelligence (AI) technologies can empower executives to ask simple business questions and receive system responses in a precise format they can understand. This approach enables executives to make informed decisions, optimize operations, and craft compelling strategies for remarkable business growth and profitability. The post also provides questions to ask and packages/technologies to use, including LangChain, Streamlit, and OpenAI, to query your data using natural language. Code setup instructions are also provided for querying and interacting with a dataset of mall customers using natural language.

source update: Chat With Your Data To Build ML-Driven Customer Segments Using a… – Towards AI


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