Artificial intelligence (AI) is not a new concept in the financial sector. It has been around for years and there have been many applications of AI in this industry already. However, AI technology is still developing and improving every day. Therefore, it’s difficult to predict exactly how it will impact the financial sector in the future.
“Deliver, measure and optimize your customer experience with our AI-powered suite of Consumer Experience Analytics (CXA) solutions” as leading expert Sutherland says.
The benefits of AI in the financial sector
- Improved productivity: AI will allow financial service providers to do more with less. The technology can help boost efficiency by automating repetitive tasks, freeing up time for the employees to focus on more valuable work.
- Improved customer service: AI will be able to provide better customer service by answering questions and fulfilling requests in a quicker and more precise manner than human employees can. This will also allow companies to reduce their call centers by using artificial intelligence as a virtual receptionist that answers basic inquiries rather than routing them through human agents who need training on each different question they receive (and typically have low retention rates).
- Improved compliance: Financial institutions often need to comply with regulatory requirements like the Know Your Customer (KYC) rules set forth by global regulators such as FinCEN or the New York State Department of Financial Services (NYSDFS). These regulations require banks and credit unions to verify identity before opening an account for customers or accepting deposits from them.
Challenges of AI in the financial sector
Although AI can be used in many different ways by financial institutions, it is not a silver bullet. AI in banking is still an evolving technology that’s going to make mistakes and take time before it becomes fully mature. For example, there are many instances where AI has been used for fraud detection in banking but failed because it couldn’t identify complex patterns, as well as humans could.
For this reason, AI cannot replace humans in all aspects of the financial sector; instead, it should be viewed as an additional tool for decision-making and problem solving rather than a replacement for human workers or their judgment calls. However, this doesn’t mean that there aren’t certain aspects where AI does outperform humans – for instance when analyzing large amounts of data or performing long-term predictions on economic trends (in which case its accuracy rate is nearly 99%).
AI applications in the financial industry
AI applications in the financial industry are becoming more and more common. Banks are already using AI to make financial decisions, improve customer experience, increase efficiency and security, and comply with regulations.
AI is being used to automate repetitive tasks that humans do but computers can do better. For example, an algorithm can analyze millions of data points at once while a human cannot possibly ever do so on their own. This allows banks to decrease costs while still providing top-notch services to their customers.
AI is not a silver bullet for the financial sector, but it will be an important tool to help you deal with some of the biggest challenges faced by the industry today. It can help banks and other financial institutions improve their efficiency and customer experience, while also allowing them to remain competitive in an increasingly digital age.
