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A new framework enables near real-time monitoring of sea routes, helping improve decisions on vessel movement and transport of global goods.

AI and satellite data improve poverty mapping in Indonesia and Maldives, enabling targeted solutions through data-driven insights.

Policy challenges include the shift in financial intermediation away from traditional banks toward digital finance providers.

AI is disrupting the social sector, enhancing the way basic services are delivered to the public.

Poverty maps derived from satellite images helped target the most vulnerable households in pandemic-affected areas in the Philippines.

The tea industry needs to improve productivity and explore value chain opportunities while maintaining quality and brand uniqueness.

Through machine learning, data from nontraditional sources, such as telcos, are analyzed for credit risk assessment of the unbanked.

To prevent the emergence of a new pandemic, monitoring of pathogens must be supported by socioeconomic solutions that protect biodiversity.

A data-driven “smart” system can help water utilities to reduce losses from unaccounted-for-water more efficiently and improve service delivery.

Policies should foster vibrant start-up ecosystems, enabled by foundational technologies, such as cloud computing.