Page 39 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

Figure 1: Regional Distribution of Use Cases 2-Project intro

2�1�3 Distribution of use cases by domains

The AI use cases have been broadly categorized into 11 application domains, offering a clear
lens through which to assess global priorities and technological readiness. The data reveals a
distinct pattern of emphasis that aligns with both urgent societal needs and the maturity of AI
adoption across sectors.

Healthcare stands out as the leading domain, featuring the highest number of cases. This
highlights AI’s critical role in addressing health challenges through medical diagnostics,
treatment optimization, and pandemic preparedness—issues that have grown increasingly
prominent in recent years.

Climate and natural disaster management ranks as the second most represented area,
reflecting the rising importance of AI in climate modelling, environmental monitoring, disaster
response, and sustainability efforts. This trend underscores global concern over climate change
and the demand for intelligent systems that can support mitigation and adaptation strategies.
The telecommunications sector also demonstrates significant activity, particularly in the context
of 5G deployment, where AI is enhancing infrastructure, network optimization, and smart
connectivity. Productivity enhancement features prominently, indicating widespread efforts to
use AI for process automation, workflow optimization, and augmenting human performance
across various industries.
In manufacturing, AI is driving industrial transformation through smart factories, predictive
maintenance, and intelligent automation. The financial services sector showcases AI applications
in fraud detection, credit scoring, risk analysis, and inclusive finance.

Education and smart cities and homes represent growing areas of interest, demonstrating how
AI is reshaping both learning environments and urban living. Accessibility solutions illustrate
AI’s potential to create inclusive technologies for people with disabilities, while transportation
applications focus on autonomous driving, traffic optimization, and logistics.

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