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Writer's pictureAvant

How AI Can Solve Problems in Under-Resourced Remote Areas

Remote and under-resourced areas face daily challenges that limit economic growth and opportunities. Farming struggles with unpredictable weather, financial services are often out of reach, job options are limited, and small businesses face difficulties accessing markets.



Improved Financial Access

Accessing loans or banking services can be difficult in remote areas where formal banks are unavailable. AI platforms offer solutions by evaluating creditworthiness using non-traditional data, like payment patterns and mobile phone usage, making financial services more accessible.


AI also enhances the safety of financial transactions by monitoring for fraudulent activities, building trust and encouraging more people to use these systems.



New AI Job Opportunities for Rural Areas

AI technology is not just about automation—it’s creating new kinds of jobs that people in remote areas can do without leaving their communities. These jobs include simple tasks like organising data or labelling images for AI systems.


AI also empowers entrepreneurs by providing tools to start businesses. For example, individuals can use AI to offer services like drone-based crop monitoring or digital marketing support. These opportunities help people earn incomes locally, reducing the need to migrate to cities for work.


AI Support for Local Businesses

Small businesses in remote areas often struggle with inefficiencies and lack of access to larger markets. AI tools can help them operate more effectively.


Inventory management systems powered by AI ensure businesses stock the right amount of goods, avoiding shortages or overstocking. AI also helps businesses expand their reach by supporting online sales, connecting them to customers beyond their local area.


AI’s ability to analyse customer behaviour allows businesses to refine their products and services, making them more competitive and better suited to market demand.



Better Risk Management

Natural disasters, unpredictable weather, and resource shortages are significant challenges in remote areas. AI helps communities prepare for and manage these risks by analysing patterns and offering early warnings.


Predictive AI models can forecast events like droughts or floods, giving communities time to prepare. AI also improves the use of resources, such as water and energy, ensuring they are used efficiently and sustainably.


A key element in whatever solution you are building is data. The more that you can collect and structure your data the better. For smaller communitiies, this will be a case by case scenario and will be up the individual to manage the competitive advantages/opportunities for themselves.


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