Mengambatan Kesenjangan, Solusi Berbasis AI Untuk Masyarakat Underbanked Di Indonesia

(Doc. Ada Kami)

JAKARTA - The combination of artificial intelligence (AI) with big data can be a powerful weapon for financial industry players to reach and serve the underserved community, especially in countries with a wide geographical landscape and cultural and background diversity like Indonesia. With the projected economic growth to be as fast as China in the next few years (World Bank, 2020-2028E) as well as the latest Indonesia Financial Inclusion Index of 75.02% (OJK and BPS, 2024) which still has the potential to develop, the use of AI and big data can be key to bridging the credit gap (credit gap) and increasing financial inclusion nationally.

Through the use of AI and big data, financial institutions are able to get a clearer picture of potential customers, especially those from underserved and underbanked communities. This technology can answer the need for mapping consumer profiles and risk management, which is the main basis for providing financial services.

Ada Kami's Chief Technology Officer, Dr. Ming Gu, explained in his session at Tech in Asia Conference 2024, Often times, prospective borrowers have very few formal credit track records or even none at all, because they have never had a loan or taken installments. If credit bureau data is not available, then alternative data sources can be used to assess credit eligibility. To carry out these assessments and analyses, big data becomes the right technology. This is at the heart of fintech, especially on the technological aspect.

Dr. Gu explained that Ada We use alternative data sources to analyze patterns and behavior in order to get a clearer picture of the credit profile of potential borrowers. Although complex when compared to traditional methods, this process allows Ada Kami to serve a wider segment of society more effectively, without relying too much on credit bureau data.

In addition to pattern analysis and behavior, technology also plays a role in detecting fraud which is an important part of risk mitigation in the fintech industry. We use fraud prevention technology in detecting image-based fraud attempts, such as photo manipulation of identity cards using AI. We are also proactive in personal data protection efforts by utilizing data obtained from legitimate sources for customer profile mapping needs and risk mitigation. There are We implement strict measures in maintaining data privacy to ensure that sensitive information is used responsibly and safely," added Dr. Gu.

Furthermore, Dr. Gu also shared his views on the potential growth of the fintech lending industry in Indonesia. As one of the countries with the largest population in the world, Indonesia has significant potential to adopt fintech. Even so, the vast geography, coupled with the limited physical existence of conventional financial institutions, has long been a barrier to access to credit services for most Indonesians, especially those living in rural areas.

Indonesia consists of thousands of islands, most of which are very remote, without access to physical financial institutions, let alone loan or credit services.," concluded Dr. Gu. By combining high internet and smartphone penetration rates in Indonesia, we can provide wider access to financial services to more Indonesian people.

On the other hand, without realizing it, the mobile internet has revolutionized the way Indonesians communicate, even in banking transactions. With the presence of AI technology and mobile phones, the process of borrowing on the side of consumers and service providers can be more efficient with better risk mitigation and can reach the public with an inadequate history of formal credit.

Finally, along with Indonesia's rapid economic growth, national credit demand will also continue to increase. By utilizing AI and big data, financial institutions will be better prepared to meet this need, while ensuring that Indonesia's economic growth provides benefits for all its citizens, bringing this country closer to real financial inclusion.