Key Stats
- 18M hectares — Scale of crisis addressed
- Real-time — Data processing capability
- ML-powered — Predictive fire modelling
- Multi-agency — Unified data platform
Key capabilities:
- Cloud-native data platform for real-time processing
- Machine learning models for fire prediction
- Satellite imagery and IoT sensor integration
- Cross-agency data sharing for coordinated response
The Approach
Kablamo took on the challenge of rethinking how data and machine learning could be used to better manage, predict, and prevent bushfires. Through interviews with volunteer firefighters, brigade captains, fire-behavioural analysts, and fire scientists, the team uncovered critical opportunities for technology intervention.
The Results
The platform enables real-time ingestion and processing of vast data sets including satellite imagery, wind patterns, and social media feeds, transforming how emergency services prepare for and respond to bushfire threats.
Looking Forward
The data platform continues to evolve, incorporating new machine learning capabilities and data sources to strengthen Australia's bushfire preparedness and response capabilities.
