Singapore Red Cross uses Dataiku AI platform for disaster monitoring and disease forecasting

Dataiku has worked with Singapore Red Cross to apply AI to disaster surveillance and public health preparedness, with the collaboration focused on automating manual data work and forecasting disease risks.

The work was carried out under Dataiku’s AI-for-Good Program, which gives non-profit organisations access to its AI platform and pro bono support from Dataiku data scientists and engineers. Singapore Red Cross’s Humanitarian Innovation and Technology team used the platform for two use cases: disaster surveillance across Southeast Asia and leptospirosis forecasting in Thailand.

Disaster monitoring becomes less manual

Singapore Red Cross used Dataiku’s platform to automate parts of its disaster surveillance process across Southeast Asia.

The organisation had previously relied on manual work to collect, clean and consolidate data on natural and man-made disasters. According to Dataiku, automating the process improved speed, accuracy and data quality, while reducing problems caused by inconsistent data formats.

The platform also allowed Singapore Red Cross to add contextual data, including climate trends and weather patterns. That gives its teams a broader view of disaster risks and reduces the amount of time spent preparing data before it can be used for response planning.

Andrew Boyd, SVP Asia Pacific & Japan at Dataiku, described the collaboration as a way for humanitarian organisations to move from reacting to crises towards anticipating them. He added that AI can support faster decisions and better coordination when used by teams working on the ground.

AI models support disease risk forecasting in Thailand

The collaboration also covered leptospirosis forecasting in Thailand. The waterborne disease is endemic in the country, and Singapore Red Cross used machine learning models to analyse weather and environmental data to improve outbreak predictions.

The goal is to support earlier intervention and better resource planning for vulnerable communities. For Singapore Red Cross, the work shows how humanitarian data can be used for more targeted action, instead of remaining locked in slow manual processes.

Nur Hafiza AB Mutalif, Assistant Head of International Affairs at Singapore Red Cross, said: “Behind every data point is a community in need. By bringing together technology and humanitarian expertise, we can act earlier and with greater precision, whether that means anticipating risks before they escalate or delivering support when it matters most.

“This collaboration allows us to turn data into timely, targeted action, ensuring that resources reach the right people at the right moment. Ultimately, it’s about making aid not just faster, but more meaningful, sustainable, and responsive to the realities on the ground.

“We are very pleased to work alongside Dataiku’s data scientists and engineers to anticipate risks earlier, plan with greater accuracy, and deliver support in ways that are more targeted, timely, and sustainable over the long term.”

Dataiku extends its AI-for-Good work

Dataiku launched its AI-for-Good Program in 2019 to provide non-profit organisations with access to AI tools and volunteer expertise. The programme has supported organisations working across food distribution, education access and environmental initiatives.

Charlotte Lambert, Head of Dataiku’s AI-for-Good Program, framed the Singapore Red Cross project as part of a wider effort to help non-profit organisations use AI to act earlier and plan more effectively.

The collaboration provides technical support for humanitarian workflows that depend on timely and reliable data for the Singapore Red Cross, while adding an Asia Pacific example of how its platform is being applied outside commercial enterprise use cases for Dataiku.