Overview:
Artificial intelligence has become a serious obstacle in almost every industry, including banking and finance. Use of AI in banking apps and services has made the banking sector more client-centric and digitally apposite. The big advantage of AI is that is that it can reduce the cost of banks if banks system is based on AI that can increase the productivity and making decisions based on information unfathomable to a human agent. And algorithms are very helpful to find out the fraudulent information in a few seconds.
How Artificial Intelligence help banking:
Artificial intelligence is known as the best technologies that can basically change industries. Banking is without exception. There are three possibilities that started investing to ESG to financial crime. You can give suggestions to your customers only when you know the demands of your customers well. The intelligence is becoming fastly important in digital world that has always applied on analogue world. When advising on investments in the future it can be more important. For example, bank advisors find suitable funds, bonds or shares for customers by the help of algorithm. Max Mindt says: “Person who always shopped on an online marketplace is familiar with such product suggestions,” who is driving the “Next best offer” project for Deutsche Bank. For this way implementation of investment is very difficult because it easily to be balance.
The capacity of quickly process large amounts of data makes AI models attractive to other fields such as sustainability, for example. From 2023, European Union banks will have to publish which transactions are green.
Applications of AI in banking and finance
- Cybersecurity and fraud detection
- Chatbots
- Loan and credit decisions
- Tracking market trends
- Data collection and analysis
- Customer experience
- Risk management
- Regulatory compliance
- Predictive analytics
- Process automation
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