AI algorithms are being applied by financial institutions across the board, with essential business benefits and pressure from tech-savvy customers in mind. Here are some of the applications of AI that revolutionising the financial sector at the moment.

Personal Finance and Artificial Intelligence

Consumers yearn for financial independence, and the capacity to handle one’s finances pushes AI adoption in personal finance. AI is a must-have for every financial institution wanting to provide personalised experience for there, whether it is using natural language processing to better understand customer queries, predictive analytics for faster response times or recommender systems to increase the accuracy and relevancy of wealth management products and services. AI can help turn frustrating experiences into seamless and pleasant interactions.

Artificial Intelligence in Corporate Finance

One of the most beneficial use cases of Artificial intelligence in corporate finance since is the ability to better predict and assess loan risks. AI technology like machine learning can help organizations raise their value by improving loan underwriting and lowering financial risk. As firm analysts, treasurers, accountants, and investors strive for safer decision making processes, AI can also reduce financial crime through better fraud detection and uncover aberrant behavior early on this gives a unique opportunity for finance professionals to off-load most of the manual and time consuming tasks and focus on pushing their services to the next level.

Artificial Intelligence in Security

The potential of AI to detect cyber attacks and fraud is one of the most important roles for AI in banking. It is estimated that consumers lose close to $50 bn a year due to fraudulent activities and cyber-attacks. AI can identify abnormalities in patterns that humans would otherwise miss, giving consumers and finance professionals a better chance to prevent fraud before it happens.

What’s next for AI in Finance?

The use of AI in financial services has numerous advantages. It can increase efficiency and productivity through automation, reduce human errors and biases caused by emotional or psychological factors, and improve the quality and conciseness of management information by detecting anomalies or longer-term trends that are difficult to detect using current reporting methods.

Without a doubt, AI is the way of the future in the finance business. Bots are gradually becoming more sophisticated as AI advances. Companies that perceive this as a long-term cost-cutting initiative are making large investments in the new technologies.  Because of the rapidity with which it is making financial procedures easier for customers, it will soon be able to off-load most of the manual and time-consuming tasks to allow humans to focus on the things that matter.