The financial services industry is one of the leaders when it comes to innovation and adoption of new technologies. Fintech has been recognized by more players in the business landscape, thereby leading to sporadic growth of the industry. One of the most crucial milestones for fintech is the use of artificial intelligence, which has served as a transformative force for the financial industry.

Therefore, the role of AI in fintech has become a topic of curiosity for fintech experts, practitioners, and business leaders. With the use of AI and fintech, you can notice a broad range of advantages, including reduction of unnecessary expenses and streamlined financial management. Let us explore the role of artificial intelligence in fintech and how it would shape the future of fintech.

How is AI Relevant for Fintech?

Fintech leverages different types of technologies, such as cloud computing, IoT, and blockchain, to improve the working of financial services. However, the arrival of AI in fintech creates some apprehensions about how artificial intelligence fits in the domain of fintech. Artificial intelligence revolutionized fintech by focusing on three important areas such as,

• Automation of financial processes.

• Customer experience enhancements.

• Data analytics and insights.

According to a report by McKinsey, around 44% of businesses utilize AI to capitalize on automation and reduce costs. The use of AI in fintech has helped banks save almost $447 billion in 2023, with 90% of savings coming from front-office and middle-office enhancements.

In terms of customer experience enhancements, AI-powered chatbots have transformed user experience. More than 100 million people used bank chatbots in 2023. The smart AI chatbot of Bank of America, Erica, is the best example of successful use of artificial intelligence to improve fintech customer experience. As a matter of fact, Erica received more than 300 million customer requests in 2023.

Top companies in the world lose almost $250 million a year due to discrepancies in decision-making. The combination of artificial intelligence and fintech can help financial service providers leverage AI-driven data analytics to extract valuable insights. Data analysis and reporting with AI can help analyze financial data and make accurate predictions.

How Does AI Transform Fintech?

First and foremost, it’s important to learn about AI which can be done with any trusted AI certification course to understand the role of AI in fintech fully. The interplay between AI and fintech has fuelled some formidable changes that play a crucial role in determining the future of financial services. You can find the answers to queries like “What is the future of fintech with AI?” by understanding the changes induced by artificial intelligence in fintech. Here is an overview of some of the significant transformative effects of artificial intelligence on fintech companies.

1. Personalization of Financial Advice

AI-powered robotic advisors leverage machine learning algorithms for personalization of financial advice. The advisors can ensure a comprehensive assessment of the existing financial situation, risk tolerance, and individual goals to come up with personalized investment portfolios and strategies. Wealthfront is a popular AI-powered advisor that helps build and manage personalized investment portfolios.

2. Risk Management

One of the most noticeable benefits of AI in fintech is the assurance of better risk management. Artificial intelligence can help with analysis of large collections of data for assessment and mitigation of financial risks. With the help of advanced machine learning models, fintech companies can get better predictions for market trends and accurate evaluation of credit risks. As a result, financial institutions can make more informed decisions and reduce the risks of losses. For example, large asset management companies such as BlackRock utilize AI to empower risk management for investment strategies.

3. Regulatory Compliance

Another prominent area of fintech that could make the most of AI is regulatory compliance. The applications of AI in fintech can help with transaction monitoring and detection of suspicious activities alongside reporting anomalies to regulatory authorities. In addition, AI models can also support anti-money laundering or AML compliance and Know Your Customer or KYC processes. For example, Chainalysis leverages AI to track cryptocurrency transactions, thereby ensuring effective compliance with regulatory guidelines.

Final Words

The role of AI in fintech involves automation of financial services, improvements in customer service, and accurate data analytics. Interestingly, AI adoption in fintech has been growing as more fintech companies recognize the advantages of artificial intelligence. The future of fintech depends on leveraging artificial intelligence and machine learning for a wide range of improvements. Learn more about the best practices for using AI in the domain of fintech with AI and fintech course offered by Future Skills Academy.