Use Cases for AI in Finance

All over the world, artificial intelligence (AI) is getting into everyday operations to reduce the amount of work to consolidate data and information and detect anomalous activity. AI is particularly beneficial in the financial sector. It is changing everything, from Electric Brain home page financial planning to the prevention of fraud to subwriting loans.

AI is used most often in finance to automate repetitive tasks that require high frequency. This reduces human errors and allows for resources be allocated to other strategic actions. Automating processes is a good example. It can reduce the cost of manual data entry by 50% to 70%. AI can also aid in accelerating market research, forecasting the growth of investment and evaluating risk by identifying anomalous data and alerting users to possible issues with real-time notifications.

AI can also be used to deter financial crime as well as cyberattacks. Fraudulent transactions result in billions of dollars in losses each year. AI can assist in identifying suspicious patterns in large data sets. AI can detect fraudulent transactions through deep learning as well as other sophisticated algorithms. For instance, if the request for a car loan is discovered to be in violation with the policies of the company.

AI is also a vital component in providing 24/7 support to customers, assisting them with financial services via chatbots and voice. AI-powered virtual assistants permit customers to access account information, check transaction history, and get personalized insights by simply asking questions in natural English – without the need for complicated queries or transactions codes. The assistants also offer personal and personalised recommendations on additional savings and investments, insurance, and more.

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