Despite growing interest in artificial intelligence for flood prediction, scientist Mahar Lagmay emphasizes the continued importance of accurate data. He argues that even sophisticated AI models are limited without reliable information regarding rainfall, river levels, and local topography. Lagmay suggests that substantial investments in flood control projects—potentially reaching P1 billion—could be wasted if decisions aren’t grounded in solid scientific data. The focus shouldn’t solely be on advanced technology but on bolstering data collection and analysis. Effective flood management requires a holistic approach, combining AI's potential with the fundamentals of sound hydrological science. Ultimately, prioritizing data quality can maximize the impact of any investment in flood prevention infrastructure.