1. To introduce intelligent decision-making that is data-driven & assisted by generative artificial intelligence.
2. To explore the latest generative artificial intelligence applications for intelligent decision-making & data analysis.
3. To learn about data types & how to build digital data collection instruments assisted by generative artificial intelligence.
4. To learn how to extract data from data collection instruments & methods for data cleaning & preparation for analysis via generative artificial intelligence.
5. To learn how to interact with & upload data to generative artificial intelligence applications.
6. To learn the correct, safe, principled, ethical & high-integrity use of data & artificial intelligence.

• Introduction to intelligent, data-driven decision-making assisted by artificial intelligence
• Getting to know data & information types
• Security and ethics of correct data usage
• Building data collection instruments assisted by artificial intelligence
• Communication to simplify data collection assisted by artificial intelligence
• Data collection simulation among participants
• Data extraction, data cleaning & preparation for data analysis

• Quantitative data analysis assisted by artificial intelligence
• Qualitative data analysis assisted by artificial intelligence
• Data visualization assisted by artificial intelligence
• Storytelling & writing based on data analysis assisted by artificial intelligence
• Intelligent decision-making assisted by artificial intelligence
• Effective communication based on data analysis assisted by artificial intelligence

At the end of the workshop, participants will better:

• Understand the process of intelligent decision-making that is data-driven & assisted by artificial intelligence
• Become skilled in creating data collection instruments assisted by artificial intelligence
• Know how to extract & clean data for analysis
• Know how to perform data analysis & data visualization
• Become smart in making intelligent, data-based decisions
• Practice ethics and security in data usage

This module will introduce two categories of generative artificial intelligence applications for data analysis:

• Multi-purpose chatbot applications such as ChatGPT, Claude & DeepSeek
• Specialized chatbot applications such as Julius AI

• The ‘AI as IAs’ concept framework This module presents the use of artificial intelligence as ‘IAs’, which is Artificial Intelligence (AI) as:
  • Intelligent Answer
  • Intelligent Assistant
  • Intelligent Artist
  • Intelligent Analyst
  • Intelligent Advisor
  • Intelligent Research Architect
  • Intelligent Augmentor
  • Intelligent Agent
• Platform Agnostic