While the 2019/2020 Australian bushfire disaster unfolded, the team at Kablamo sought to find ways we could help by using the skills we had: developing technology to assist firefighters and other emergency personnel.
DELWP Victoria utilised modelling framework to calculate the likelihood and severity of a bushfire in any area called the Residual Risk metric. After four years, it needed an injection of cloud technology and machine learning capabilities to continue reducing bushfire risk across the state. Kablamo was the team to build this infrastructure.
The new platform had to overcome issues in the previous prediction metric, such as bottlenecks preventing scalability, while adding new opportunities such as increased spatial resolution. It needed to be accessible to a range of operators, such as scientists and fire chiefs, who applied the resulting metric in different and important ways. It also needed to be underpinned by cloud-based data storage and processing at many orders of magnitude greater than had previously existed at DELWP.
An upgrade like this would not be likely for several years, so the project needed to be as advanced and fit-for-purpose as possible.