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How AI is transforming the financial sector

How AI is transforming the financial sector

The financial services industry is known for being data-driven and embracing emerging technology to deliver efficiency, cost savings, detect fraudulent activity, and keep operations running smoothly. It should come as no surprise that the industry is embracing AI as a tool for innovation and efficiency. Financial services firms are using AI in a variety of ways to improve operations, enhance customer experience, mitigate risk, and detect fraud. As AI continues to evolve and adoption grows, new levels of efficiency, personalization, and monitoring are emerging.

Improving Business Operations with AI

Operational efficiency is crucial in the fast-paced and competitive world of finance. Businesses are constantly looking for an edge, and AI is proving to be a key enabler. By leveraging AI capabilities, businesses are seeing improvements in streamlining operations by automating routine tasks, reducing human error, and optimizing processes.

Automation, often referred to as a gateway to AI, is useful for handling repetitive tasks that are highly manual, error-prone, and time-consuming. Financial firms are finding immense value in automation, particularly robotic process automation. It is used to handle repetitive tasks such as data entry, document processing, and reporting. These tasks, which once required a lot of manual effort and time, can now be completed faster and more accurately through automation, freeing up employees to focus on higher-value, more strategic tasks.

For example, many previously manual and document-based processes at banks required the processing of customer identity documents. Software automation systems allow customers to securely upload identity documents to a web-based location. The automation process can use a combination of optical character recognition, natural language processing, and robotic process automation to process the email, correctly read and interpret the documents, perform necessary validation and verification steps, and interact with information stored in customer and bank systems. This simplifies the customer’s interaction with banks, reduces overall processing time, and reduces human error in the process.

AI also helps in decision-making processes. In areas where speed and accuracy are critical, such as trading, AI acts as an augmented intelligence tool that gives traders additional insights and knowledge to better inform their decision-making. AI does not replace humans, but rather helps them do their jobs better. Several tools and platforms such as The Bloomberg Terminal, a popular platform used by many in the financial industry, have integrated AI into the Terminal to empower traders. It is capable of analyzing vast amounts of financial data and news in real-time and providing insights that traders can use to optimize their trading strategies. After all, milliseconds matter when it comes to trading and AI helps traders make more informed trading decisions.

Improving the customer experience

We all know from experience what good customer service and bad customer service feel like. And when you have bad interactions as a customer, it really leaves a sour taste. That’s why many financial institutions are striving to achieve a high-quality customer experience, and AI is now helping to deliver personalized, responsive, and convenient services at scale.

When it comes to personal finance, banks are realizing the benefit of providing highly personalized, “hyper-personalized” experiences for each customer. Not every customer is financially literate or looking for personalized suggestions, help, or advice. Generic advice and guidance are great as a starting point, but they can only take you so far when it comes to making decisions about your finances. Banks using AI systems are now enabling them to look at a variety of factors, such as spending patterns, savings patterns, and upcoming life events like a wedding or a big trip, to provide personalized suggestions and assistance to customers.

Furthermore, the conversational nature of AI is of immense value. AI-enabled chatbots and assistants offer assistance to customers at any time of the day and can handle a wide range of tasks, from simple tasks like checking account balances to more complex tasks like providing financial advice. These bots can provide personalized experiences because they look at your banking information so they can help you gather information like checking account balances or providing personalized financial advice. These bots can handle a variety of tasks quickly and accurately and always maintain a pleasant tone. In fact, they are getting so good that it is sometimes difficult to tell whether you are talking to a person or a bot.

AI-enabled risk management

Risk management is one of the most critical areas of focus and attention for any financial organization. These companies want to be financially stable, limit losses, and maintain customer trust. They also need to comply with various compliance rules and regulations. Traditional risk management assessments often rely on analyzing historical data, which can be limited in its ability to predict and respond to emerging threats. However, by leveraging AI’s pattern and anomaly pattern, AI can analyze large amounts of data in real-time and quickly identify patterns and outliers that can indicate potential risks and areas where humans should take a closer look. Given these benefits, it should come as no surprise that financial companies are leveraging AI to identify and mitigate risks faster and more accurately than ever before.

A popular use case for AI is improving fraud detection. It’s no surprise that fraud detection is nearly impossible without the help of advanced technology and AI. After all, criminals don’t want to get caught. Fraudsters will always try the most advanced, cutting-edge things they can, and traditional non-cognitive approaches won’t always catch that suspicious activity. AI tools can monitor transactions in real-time for unusual patterns that could indicate fraudulent activity, often identifying issues that would go unnoticed by traditional systems. Businesses are turning to AI-powered fraud detection systems to secure transactions. Advanced algorithms continuously monitor and analyze transaction data, detecting patterns and anomalies that could indicate fraudulent activity. By harnessing the power of AI, these businesses can quickly identify and mitigate potential threats, keeping customer payments safe.

AI also helps manage credit risk. By analyzing a wider range of data points, including social media activity and spending patterns, AI can provide a more accurate assessment of a customer’s creditworthiness. This allows lenders to gain a more holistic view of the individual to make more informed decisions, reduce the risk of defaults, and extend credit to people who otherwise wouldn’t qualify through traditional measures.

AI is transforming the financial industry, bringing new levels of efficiency, personalization and monitoring. By streamlining operations, improving customer experience and mitigating risk and fraud, AI is helping the industry navigate an increasingly complex and dynamic landscape.