Key Stats
- 6x — More ignition points simulated
- 2x — Simulation resolution increase
- Near-limitless — Serverless scaling capacity
- Ongoing — Product Care support
Key capabilities:
- Scalability — Serverless architecture for near-limitless capacity
- Automation — Automated workflows including post-processing
- Cost-effectiveness — Pay only for what you use
- Performance visibility — Rich operator dashboards
- Bottleneck removal — Eliminated previous processing constraints
The Approach
Kablamo worked with the DEECA team to design and deploy a cloud-native, fully scalable AWS machine learning platform.
The bushfire modelling uses PHOENIX RapidFire — a fire behaviour simulator that puts Australia at the forefront of bushfire tools. To be more accurate, PHOENIX RapidFire was supported with more clean data from geospatial, temporal and historical sources.
The Results
A rich user interface was introduced that allowed users to quickly create scenarios for simulation using predefined or newly uploaded data. The team could quickly and easily repeat previous runs with slight modifications.
Looking Forward
This redevelopment of an important resource — the ability to predict risk and subsequently manage bushfires — is an absolute milestone in Australia's role as a leader in bushfire management.
With a suite of AWS cloud infrastructure, infinitely scalable data processing, and machine learning advantages, Victoria now has a powerful tool with which to save lives, property and bushland.
Kablamo continues to work with the DEECA team via Product Care services, providing ongoing operational and development support.
