Event

FREE data + AI knowledge sessions to help each others and learn from each other, share job opportunity

Session 4: Analytics & Natural Language BI — Ask Your Database a Question
AI turns databases into conversational interfaces. This session covers text-to-SQL, AI-generated insights, and how analysts are using LLMs daily.
Demo (~15 min): Open a data explorer with thousands of records and filters. Ask an AI copilot a natural language question — show it querying the database. BigQuery Studio: Gemini generating SQL from English.
AI Hands-on (~15 min): Everyone tries text-to-SQL. Give the group a sample schema and 5 business questions. Use free Gemini/ChatGPT to generate SQL. Compare: which model writes better queries? Which ones hallucinate table names? How do you ground the AI in your actual schema?
Open Floor (~20 min): BAs and DAs: how has AI changed your daily work? Anyone built a natural language BI tool? PMs: using AI for product decisions? What's the gap between AI analytics promise vs reality?

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| Session | Special Topic | AI Component |
| ------- | ------------- | ------------ |
| 1 | Data & AI Ecosystem overview | First prompt challenge — everyone builds something |
| 2 | Cloud Infrastructure (AWS/GCP/Snowflake) | Vibe-code a Dockerfile + docker-compose with AI |
| 3 | Data Pipelines & Quality | AI anomaly detection on messy data |
| 4 | Analytics & BI | Text-to-SQL — ask your database in English |
| 5 | ML Evaluation & Backtesting | AI as model critic — "what's wrong with my eval?" |
| 6 | LLMs Deep Dive | Live model shootout — 4 models, same prompt, group scores |
| 7 | AI Agents — Tools, RAG, Memory | Vibe-code a working agent together |
| 8 | Multi-Agent Systems | Group design exercise — sketch a multi-agent for your problem |
| 9 | Vibe Coding Deep Dive | Build a complete feature live with AI |
| 10 | Show-and-Tell & Opportunities | Community demos + jobs + what's next |