Ingesting loads of fine-grained data helps, but it’s not enough to make fine-grained predictions. You need domain expertise too, and that’s what AiDash is applying for its Disaster and Disruption Management System.

It sounds like a contradiction in terms, but disaster and disruption management is a thing. Disaster and disruption are precisely what ensues when catastrophic natural events occur, and unfortunately, the trajectory the world is on seems to be exacerbating the issue. In 2021 alone, the US experienced 15+ weather/climate disaster events with damages exceeding $1 billion.

Previously, we have explored various aspects of the ways data science and machine learning intertwine with natural events — from weather prediction to the impact of climate change on extreme phenomena and measuring the impact of disaster relief. AiDash, however, is aiming at something different: helping utility and energy companies, as well as governments and cities, manage the impact of natural disasters, including storms and wildfires.

We connected with AiDash co-founder and CEO Abhishek Singh to learn more about its mission and approach, as well its newly released Disaster and Disruption Management System (DDMS).

Singh describes himself as a serial entrepreneur with multiple successful exits. Hailing from India, Singh founded one of the world’s first mobile app development companies in 2005 and then an education tech company in 2011.

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