Developing an AI based Business Data Analyst using OpenAI Function Calling || Bernhard Schäfer

Key insights Developing an AI-based business data analyst using open AI function calling can potentially challenge the role of traditional data analysts. The AI-based business data analyst was able to load and inspect the CSV data, generate Python code, and create a chart, showcasing its potential in automating data analysis tasks. ‍ "Overall, I'm not very concerned" – Despite the overestimation, the speaker doesn't seem too worried, indicating a potential disagreement or controversy regarding the significance of the AI's accuracy. The use of AI-based tools like the code interpreter raises controversy around the potential replacement of human data analysts. The potential functions of the chatbot can range from filtering and aggregating data to generating visualizations and even running SQL queries, making it a versatile tool for data analysis. The AI model can recommend specific functions, such as the plot time series function with the metric sales, to visualize data and provide valuable insights to the user. Using function calling to develop custom agents that can act as data analysts is a promising approach with several advantages, including full control over generated plots. Implementing guardrails and integration tests can help ensure the reliability and accuracy of AI-based business data analysts. PUBLICATION PERMISSIONS:
PyData provided Coding Tech with the permission to republish PyData talks. CREDITS:
PyData YouTube channel: https://www.youtube.com/@PyDataTV https://www.youtube.com/watch?v=8NfvLDhINdI

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