When artificial intelligence (AI) became an essential topic outside of technology developers and experts, much of the discussion focused on how this would undermine human capital.

These three projects use AI to speed up processes or effectively monitor data in all areas.
These three projects use AI to speed up processes or effectively monitor data in all areas.

As AI can perform a variety of low-skilled tasks in a faster, cheaper way, many jobs are at risk of being replaced by machines. Employees need to be “skilled” or learn new skills beyond their current job description to accommodate the impact of AI.

Although this is still a relevant issue for individual companies, these conversations about AI as destroyers only reflect their impact on humans. Artificial intelligence and related technologies such as data analysis and machine learning are also used to improve people's quality of life and significantly improve people's quality of life and create previously unattainable opportunities.

Some teams and startups have discovered cases of AI deployment use cases to help communities with poor service around the world. Through artificial intelligence-driven processes, these startups are filling gaps caused by insufficient resources, workforce, or inability to reach remote areas, enabling them to serve communities that are often unable to use such services.

Agricultural artificial intelligence

The best packaging method is FarmView, a project of Carnegie Mellon University (CMU) in the United States that aims to use artificial intelligence to address the tight food shortages brought about by population growth.

Using a machine that retrieves data from real crops, FarmView aims to find the conditions that result in the highest yields of sorghum, a cereal grain. It includes observing the causes of common diseases in plants and analyzing how their genetics affects yields – characteristics that farmers and scientists cannot easily see.

Please note that FarmView's AI program itself is not a substitute for farmers, but provides them with the data they need to maximize their production. Sorghum can grow even in drought-prone areas, and FarmView will help raise agricultural levels and provide a reliable source of food in impoverished areas of the world.

“Why build a world-renowned computer science school instead of a land-grant university for grain sorghum research? Because of the advances in these new technologies, plant scientists can understand crop growth in an unimaginable way,” FarmView at CMU website I wrote in the product brief.

Artificial intelligence promotes health.

FarmView's use of AI to better understand and decompose data is an everyday use case that can be applied to many areas outside of agriculture. Chinese manufacturer Motic is one of the companies that utilize it to healthcare (another data-intensive industry).

Motic has partnered with the Global Philanthropy Foundation, which invests in robust global solutions, to create an artificial intelligence-driven microscope that uses this technology to scan for traces of malaria in blood samples.

Motic, called EasyScan_GO, integrated its affordable but high-end microscope product line with an AI technology developed by a company called Global Good to create the device. Machine learning detects malaria parasites in minutes so that communities in areas without medical professionals can still be diagnosed correctly and quickly.

Also, technology allows Motic's microscope to learn how to detect other major diseases in the future. In addition to limiting access and charging high fees, Motic and Global Good have implemented a “modular pricing scheme” that makes the device more affordable for low-income communities that are more prone to malaria outbreaks.

“We integrated Global Good's advanced software into Motic's high-quality, affordable digital slide scanners to simplify and standardize malaria testing,” Motic China Vice President Richard Yeung said in an official press release for the product.

“The most recognizable success of the disease has paved the way for the EasyScan product line to stand out in almost all microscopy tasks and detect other major diseases affecting developed and emerging markets.”

Artificial intelligence to achieve financial inclusion

While FarmView and Motic both use AI as a significant component of their respective projects, the technology can be used in a more straightforward yet equally influential way.

For example, Saphron, an insurance technology startup based in the Philippines, works with large insurance providers to make it easier for billions of uninsured individuals worldwide to use their products.

To this end, one approach is through the authorization of CARD Pioneer Microinsurance Company (CPMI) insurance agents, the insurance division of the Philippines' largest microfinance group. Because CPMI employs a mother as its microinsurance agent, it can reach some communities in the Philippines that do not have a bank account. Otherwise, these communities will not be able to access financial services from formal institutions.

However, this means that CPMI agents may have difficulty working in logistics because they usually do not have a more convenient digital platform that makes these files more comfortable to handle (and more importantly, in insurance).

Saphron's NANAI is a platform that supports AI, making it easier for this community.

Microinsurance agents to sign individuals, monitor their customers' different policies, and verify any policy claims. NANAI provides CPMI agents with a way to handle a large number of files they need to do their jobs, hoping to make them more productive.

An effective way to serve microinsurance in the world's billions of uninsured people is to Deep technology. Which is the key to making insurance companies efficient and sustainable microinsurance?

Through our ecosystem and partnerships, Saphron is ready to bring financial inclusion to billions of people around the world.

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