LLMs for Business Intelligence Training in Marina Bay, Singapore

This hands-on training introduces business analysts, data professionals, and decision-makers to the practical use of Large Language Models (LLMs) in Business Intelligence (BI). It covers how LLMs can enhance data analysis, generate insights, automate reporting, and support natural language querying across BI workflows. Participants will explore real-world applications using open-source tools and commercial APIs.

FOUNDATIONS AND PRACTICAL APPLICATIONS

Introduction to LLMs in BI

  What are LLMs and why they matter for business intelligence

  Core BI tasks LLMs can support: analysis, reporting, insight generation

  Overview of tools: OpenAI, Microsoft Copilot, ChatGPT, Google Gemini, Hugging Face

LLM-Powered Data Interaction

  Asking questions about data in plain English

  Summarizing trends, comparing KPIs, and generating insights

  Using LLMs to understand and explain charts, tables, and dashboards

AUTOMATION, INTEGRATION, AND BEST PRACTICES

Automating BI Workflows with LLMs

  Use cases: automated emails, performance summaries, business reports

  Template-based prompting for repeatable reporting

  Connecting LLMs with real-time or live data sources (conceptual intro)

LLMs and BI Tools Integration

  Using LLMs in Power BI (Smart Narrative, Copilot)

  Connecting LLMs to data via APIs (with Python or Zapier/Make)

  Prompt engineering for business accuracy and repeatability

Governance and Responsible Use

  Risks: hallucinations, data leakage, biased outputs

  Best practices for validating and verifying generated insights

  Compliance and ethical deployment in business contexts

Final Labs and Wrap-Up

  Q&A, summary, and next steps toward production usage