Hi Claudia,
For project work in Singapore, we rely heavily on ChatGPT Enterprise for secure prompt engineering and Notion AI for collaborative documentation and meeting summaries.
For data cleaning and formatting, OpenRefine and Pandas (Python) are go-to tools—especially for legacy project datasets. When visualising AI-driven insights, Power BI and Tableau help communicate progress and risk forecasts clearly to stakeholders.
We don’t use synthetic data yet, but we’re exploring Azure’s AI Studio for controlled environments. On fine-tuning, Hugging Face Spaces is helpful when testing lightweight models locally with project-specific prompts.
Most importantly, we embed AI tools within existing platforms (e.g., SharePoint, MS Teams) for ease of adoption.
The key isn’t just the tool—but matching it with a solid data governance framework to ensure ethical, compliant use.
Great to see this conversation growing—thank you for leading it!