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Artificial intelligence in the financial sector: A double-edged sword

AI-powered chatbots and virtual assistants improve the customer experience, offering 24/7 support and handling routine inquiries, ultimately enhancing operational efficiency and customer satisfaction.

Wawan Sugiyarto (The Jakarta Post)
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Jakarta
Tue, September 10, 2024 Published on Sep. 9, 2024 Published on 2024-09-09T14:52:43+07:00

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Artificial intelligence in the financial sector: A double-edged sword Bank Indonesia (BI) continues to look for the right formula to deal with growing uncertainty in the financial sector. (Shutterstock/File)

A

rtificial intelligence has revolutionized the financial sector, ushering in an era of unprecedented efficiency, innovation and personalization. By 2024, AI has firmly established itself as a pivotal force in the digital transformation of the financial industry. However, as AI continues to advance, it is crucial for financial institutions to strike a balance between innovation and caution, ensuring that ethical considerations and regulatory frameworks evolve alongside technological progress.

AI has already brought about significant changes in key areas of finance. In investment management, AI-driven algorithms analyze real-time market trends, accurately predicting price movements. Hedge funds and asset managers now heavily rely on these AI tools to optimize portfolios, execute trades swiftly and uncover new investment opportunities, resulting in data-driven financial markets that lean more on predictive analytics and less on human intuition.

AI has also proved invaluable in fraud detection by analyzing large datasets and identifying anomalies. Machine learning algorithms continuously learn from transaction data, successfully detecting fraudulent activity and providing an additional layer of security to consumers and financial institutions. AI systems leverage historical transaction data to recognize legitimate patterns of behavior and flag potentially fraudulent activities when deviations occur.

AI algorithms monitor and analyze transactions in real-time, providing instant detection of potentially fraudulent activities. This capability enables organizations to respond quickly, minimizing the impact of fraud. AI excels at spotting anomalies in data and can detect unusual activity such as large purchases made from different locations in a short period, which could signal credit card fraud.

Furthermore, AI has expanded into credit scoring and lending, overcoming the limitations of traditional credit scoring models by incorporating alternative data such as social media activity, mobile payment history and utility bill payments. This innovative approach is particularly relevant in emerging markets, where a large portion of the population remains underbanked or unbanked.

In addition, AI-powered chatbots and virtual assistants improve the customer experience, offering 24/7 support and handling routine inquiries, ultimately enhancing operational efficiency and customer satisfaction. AI chatbots ensure round-the-clock support, empowering customers to receive prompt responses at any hour. This immediate availability reduces wait times and demonstrates a commitment to customer service beyond regular business hours.

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AI chatbots adeptly manage a wide range of routine inquiries, including FAQs, order status checks, account balance information and appointment scheduling. By efficiently automating these tasks, human agents can dedicate their expertise to more complex and high-value matters, leading to improved operational efficiency.

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