With climate change accelerating weather-related events such as floods, droughts, tropical storms, and wildfires, global disaster frequency is projected to rise by 37% annually by 2025 compared to previous decades. The economic toll is escalating too, with insured losses expected to reach US$145 billion in 2025 and spiking even higher in catastrophic years.
Meanwhile, Malaysia is no exception to this regional trend. In Sarawak, the monsoon season of late 2024 into early 2025 brought prolonged heavy rainfall, resulting in severe flooding and landslides. Hard-hit areas like Miri and Bintulu saw mass evacuations, extensive property damage, and multiple fatalities.
As natural disasters grow in frequency, scale, and unpredictability, the need for faster, smarter, and more inclusive response systems has never been clearer. AI-based disaster warning systems offer both a technological upgrade and a paradigm shift from reactive crisis response to proactive, data-driven resilience.
For Sarawak, the stakes are high. Seasonal floods, landslides, and shifting climate patterns continue to threaten lives, livelihoods, and long-term development. But the opportunity is equally significant. With AI, the state has the chance to enhance early warning capabilities, strengthen emergency coordination, and reach vulnerable communities in ways previously unachievable.
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