Is AI in banking needed?

The answer is Yes, because the banking and finance industry is very interested in Artificial Intelligence technology.

Artificial Intelligence’s (AI) diverse range of technologies, such as computer vision, natural language processing, and machine learning, when strategically applied, can produce significant benefits for banks, from bettering back-office operations to elevating employee and customer experiences.

The application of AI can result in considerable cost savings. Using AI-based solutions, Accenture claims that “banks can achieve a 2-5X increase in the volume of interactions or transactions with the same headcount.”

According to Martha Bennett, a principal analyst at Forrester Research with expertise in emerging technologies, financial organizations are better positioned to benefit from artificial intelligence.

Banks have a wealth of data, which is one of the requirements for AI. The application of AI and machine learning to banking services is not new, in fact.

According to Bennett, payment companies have been utilizing machine learning for some time to identify and stop fraudulent transactions. Furthermore, real-time detection is becoming more common as processing power and storage have grown.

However, Bennett issues a warning about “a lot of mythologizing around” in regards to AI’s capabilities, including the idea that machine intelligence is equivalent to human cognition. She stated that machines lack intelligence. She also warned that the cost of maintaining the AI may outweigh the advantages in situations where it does outperform humans, such as in situations where there are a lot of variables.

Here is the list of top op benefits of AI in banking.

1. Reduction in the risk and expense of operations

2. Enhanced consumer experience through chatbots

3. Enhanced regulatory compliance and fraud detection

4. Improved judgment regarding credit and loans

5. The investment process being automated