22-25 April 2026 
AI Meets Analytics: Unlocking Real-World Insights with OpenAI's GPT in Python
2025TL; DR
Discover how to leverage OpenAI's GPT library in Python to solve real-world problems. This session showcases advanced NLP techniques to automate text analysis, summarize insights, and generate actionable recommendations.
Session Details
In this 50-minute session, attendees will learn how to harness the power of OpenAI’s GPT library in Python to transform raw data into actionable insights. Through practical examples, participants will:
Automate text analysis: Use GPT to classify, summarize, and extract key information from text data.
Generate actionable insights: Apply GPT to real-life scenarios, such as analyzing customer feedback or summarizing business reports.
Streamline workflows: Learn how GPT integrates seamlessly with existing Python workflows, making it an invaluable tool for automation.
A real-world use case will demonstrate how to analyze a dataset of customer reviews, extract sentiment trends, and auto-generate a summary of actionable recommendations for business improvement. Attendees will also explore best practices for working with AI models, including ethical considerations and avoiding pitfalls in text generation.
By the end of the session, participants will have hands-on experience using OpenAI’s GPT library and practical knowledge to integrate AI-powered text analysis into their analytics workflows.
Automate text analysis: Use GPT to classify, summarize, and extract key information from text data.
Generate actionable insights: Apply GPT to real-life scenarios, such as analyzing customer feedback or summarizing business reports.
Streamline workflows: Learn how GPT integrates seamlessly with existing Python workflows, making it an invaluable tool for automation.
A real-world use case will demonstrate how to analyze a dataset of customer reviews, extract sentiment trends, and auto-generate a summary of actionable recommendations for business improvement. Attendees will also explore best practices for working with AI models, including ethical considerations and avoiding pitfalls in text generation.
By the end of the session, participants will have hands-on experience using OpenAI’s GPT library and practical knowledge to integrate AI-powered text analysis into their analytics workflows.
3 things you'll get out of this session
Learn how to set up and use OpenAI’s GPT library in Python.
Gain hands-on experience automating text analysis and generating insights.
Understand best practices for applying AI to real-world analytics problems.