Banks are more sophisticated than ever, using the best technology. Here’s how they’re using AI to make your life easier.
You may have seen Pepper the robot in the news. She has been introduced as HSBC Bank’s in-branch greeter and banking assistant. She currently provides bank patrons with information and entertainment, but as her technology improves, she will provide more personalization through features like facial recognition.
While the average person may not be greeted at the bank by an actual robot, we see artificial intelligence being used regularly in our day-to-day banking world.
Artificial intelligence (AI) refers to the ability of machines to independently perform tasks normally done by humans, more specifically, things like understanding language, making decisions, or solving problems.
Machine learning (ML) refers to systems that can not only do the tasks but learn from experience. In banking, computer systems are fed a great amount of data about customers. Computers can sort, classify, and analyze that data. They can make predictions based on customers’ previous behavior and make decisions based on previously determined criteria. Systems can also learn from exceptions and improve over time.
Artificial intelligence and machine learning have been used in banking, to some extent, for many years. Over the last several years, as customers rely more on mobile banking and online services, brick and mortar banks have reduced their number of locations.
In 2020, with the onset of the pandemic, many local bank branches closed for extended periods of time. Thankfully, we were still able to complete many of our daily banking tasks. According to Statista, there are 57 million people in the U.S. alone using mobile banking.
Here are some everyday banking services where you might see AI and ML at work:
No matter which banking activities you are using, you can be sure there is some aspect of artificial intelligence involved. That number is set to increase exponentially over the next several years.
Through automated processes, banks collect, sort, categorize, and analyze huge amounts of data to target customers through marketing, better personalize their services, and offer you the best products for your needs.
Considering automatic transactions are less expensive than in-branch activities, AI processes help banks to reduce their costs.
At the same time, AI and ML are helping banks monitor data for unusual transactions, to detect and prevent fraudulent activity, and to keep your accounts secure.
You get 24/7 convenience to bank on your own terms, personalized service based on your previous behavior or that of people similar to you, and faster service overall.
You might think people would be leery about giving up their privacy for the sake of convenience, but according to Genpact, 68 percent of millennials and over 42 percent of older generations are okay with businesses using their personal data if it means they will get better customer service.
Whenever organizations collect a large amount of data, there is a possible security risk. Personal information is always open to hackers, but banks and FinTech companies spend huge amounts of time and money to predict, analyze, and prepare to mitigate those risks. Data is encrypted, verification processes are becoming more complex, and security and fraud detection are very high priorities.
As in any industry, people question whether automation in the banking industry will eliminate jobs. This may be a valid concern as many banks have reduced their brick and mortar location as online and mobile options have increased. That said, automation means that banks can offer more services so new jobs may appear in different areas. Leaders in the banking industry claim they are investing in technology, not to eliminate the human experience, but to make it better.
While some banks are moving forward with artificial intelligence and machine learning at a faster pace than others, the consensus is AI in the banking industry is here to stay. As technology improves, banks will continue to provide faster, more convenient, more personalized services for you while benefiting from better marketing, reduced costs, and time savings themselves.
Written by SHARI TALBOT