- Hunger Map LIVE uses machine learning technology to make informed predictions on food security even in areas where data is currently limited
- It will track the magnitude and severity of hunger in over 90 countries in close to real-time
Alibaba Group and the United Nations World Food Programme (WFP) has announced the launch of “Hunger Map LIVE,” a groundbreaking global hunger monitoring system that uses Artificial Intelligence (AI), machine learning and data analytics to predict and track the magnitude and severity of hunger in over 90 countries in close to real-time.
About Hunger Map LIVE
Hunger Map LIVE brings together streams of publicly available information on food security, nutrition, conflict, weather and a variety of macro-economic data – including from WFP all in one place to show a holistic picture of the food security situation. It uses machine learning technology to make informed predictions on food security even in areas where data is currently limited.
“The Hunger MAP LIVE is a visual wake-up call every day, showing us a real-time snapshot of the problem and reminding all of us that we must do more to defeat hunger,” said David Beasley, WFP executive director , speaking at an event with Heads of State, civil society and technology industry leaders on the sidelines of this year’s UN General Assembly in New York.
“The Hunger Map LIVE demonstrates WFP’s commitment to digital transformation, working strategically with partners like Alibaba to use technology in ways that help us become more efficient and effective,” Beasley added.
“We are excited to provide our leading technology and resources to join WFP in the journey to fight hunger. Launching Hunger Map LIVE is only the first step,” said Lijun Sun, Alibaba partner and chairman of Alibaba Foundation.
“Across the Alibaba Group we have developed a leading technological ecosystem, and by working with the experts from WFP, we can really see it from a new perspective. This aligns with our vision of using technology to create a better world,” he added.