Navigating the storm.
In a world where the unexpected has often reshaped history, ‘black swan events’ are a stark reminder of our collective vulnerability to the unforeseeable. These events, defined by their rarity, severe impact and the widespread post-event perception that they were predictable, present a unique challenge in risk management and forecasting. Historical examples, ranging from the Spanish Flu to the COVID-19 pandemic, the 2008 global financial crisis and ongoing geopolitical shifts, demonstrate the profound and often unanticipated effects such events can have on global systems.
Brian Civin, Chief Sales and Marketing Officer at AfriGIS, emphasises the importance of acknowledging the unforeseen in our predictive models. “In a dynamic world where the only constant is change, traditional models often fall short in anticipating these outliers,” says Civin.
Civin highlights the crucial role of geospatial analytics in this context. By mapping and analysing spatial data, we can gain a deeper understanding of the dynamics at play in these unpredictable scenarios. “Geospatial analytics isn’t just about mapping data, it’s about interpreting complex patterns and trends that could…
