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CFO Tech Outlook | Tuesday, June 28, 2022
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The AI can determine a customer's typical behavior by monitoring how they interact with their transactions.
Fremont, CA: Financial firms may use artificial intelligence to evaluate and manage data from many sources in order to deliver important insights. These creative findings assist banks in overcoming the challenges they confront on a daily basis when offering services such as loan administration and payment processing. Now, look at some examples of FinTech innovation powered by AI and the primary advantages these organizations can receive from this technology.
· Increased Security
Many solutions targeted at improving security safeguards are powered by AI in the financial sector. Artificial intelligence in FinTech incorporates behavioral solutions and has the potential to usher in an economic revolution. The AI can determine a customer's typical behavior by monitoring how they interact with their transactions. For example, assume a customer seeks to withdraw $7,000 from their account numerous times in a row in a location other than their usual location. AI-powered machine learning will flag this behavior as probable fraud and block it.
· Chatbots in FinTech Improve Customer Service
AI-powered chatbots can reduce the workload on call centers by addressing the most common and common user issues. Some financial organizations can even expand their customer base using chatbots. For example, two months after launching its chatbot, Bank of America gained over one million new customers.
· Personalized Banking Apps Powered by AI
Many banking applications provide tailored financial assistance to help users reach their financial goals, monitor their income and expenditures, and do various other things.
This personalization is mostly made feasible by AI-powered FinTech breakthroughs. For example, Bank of America provides an app that assists customers in budgeting their spending with an AI-powered, individualized approach for each customer. Furthermore, the institution use AI to anticipate the likelihood of default for businesses that require loan management.
· User Behavior Analysis
Artificial intelligence in FinTech may forecast a user's behavior using AI APIs, which can also get used to benefit banks and FinTech enterprises. For example, assume the user makes a single request for information about their expenses in the previous month. Users predict their follow-up query on the
server-side using AI and supply this information in the same answer. As a result, they reduce the number of queries and the burden on their system. If the predictive analysis is true, the user also benefits because the system operates faster.
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