From rainfall to response: how data guided recovery in Maipú

Reading Time: 4 minutesOn Saturday, 31 January 2026, a single cloud changed Maipú in less than an hour – 17 millimetres of rainfall in forty-five minutes, flooding streets and destroying homes. Images spread across social media. Many claimed they were fake. They were not. The storm devastated more than a thousand families. So how did Maipú use real-time data to reach those in need?

De las lluvias a la respuesta: cómo los datos guiaron la recuperación en Maipú

Reading Time: 4 minutesEl sábado 31 de enero de 2026, una sola nube transformó Maipú en menos de una hora – 17 milímetros de lluvia en cuarenta y cinco minutos, inundando calles y destruyendo viviendas. Las imágenes se difundieron por las redes sociales. Muchos afirmaron que eran falsas. No lo eran. La tormenta devastó a más de mil familias. ¿Cómo usó Maipú los datos en tiempo real para llegar a quienes lo necesitaban?

Lost in the policy maze: Why UK SMEs are missing out on tech gains

Reading Time: 3 minutesAI is spreading through the UK economy, but not quickly enough. Recent UK evidence shows that around one in three firms with fewer than 50 employees adopted AI, compared with almost two in three larger businesses, while regional adoption ranged from 32% in the North East to 67% in London. What can government do to close these adoption gaps?

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