ESG News

Alibaba and WFP Unveil Next Generation of Machine Learning Technology in the Fight against Hunger

Alibaba Group and the United Nations World Food Programme (WFP) have launched “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. 

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.

Advanced data visualization tools then convert the resulting analysis of food insecurity at the global, country and subnational levels, and display it on an interactive map.

By having the most up-to-date information on food security on one central platform, WFP, the broader humanitarian community and global leaders can monitor progress and identify negative trends early, ultimately enabling better informed decision-making to improve efficiency in response time and curtailing costs.

Related posts

GITEX Africa witnesses Mindware’s AI, Cloud and Emerging Technologies


Sophos announce New CEO and CFO


Palo Alto brings the Most Comprehensive SASE Capabilities