“1. AI and Credit Decisions
Automobile lending companies in the U.S. have reported success with AI for their needs as well. For example, this report shows that bringing AI on board cut losses by 23% annually.
2. AI and Risk Management
A US leasing company, Crest Financial, employed artificial intelligence on the Amazon Web Services platform and immediately saw a significant improvement in risk analysis, without the deployment delays associated with traditional data science methods.
3. AI and Fraud Prevention
Aggregators like Plaid (which works with financial giants like CITI, Goldman Sachs and American Express) take pride in their fraud-detection capabilities. Its complex algorithms can analyze interactions under different conditions and variables and build multiple unique patterns that are updated in real time. Plaid works as a widget that connects a bank with the client’s app to ensure secure financial transactions.
4. AI and Trading
The business news outlet, Bloomberg, recently launched Alpaca Forecast AI Prediction Matrix, a price-forecasting application for investors powered by AI. It combines real-time market data provided by Bloomberg with an advanced learning engine to identify patterns in price movements for high-accuracy market predictions.
5. AI and Personalized Banking
The biggest US banks, such as Wells Fargo, Bank of America and Chase, have launched mobile banking apps that provide clients with reminders to pay bills, plan their expenses and interact with their bank in an easier and more streamlined way, from getting information to completing transactions.
6. AI and Process Automation
A leading financial firm, JP Morgan Chase, has been successfully leveraging Robotic Process Automation (RPA) for a while now to perform tasks such as extracting data, comply with Know Your Customer regulations, and capture documents. RPA is one of ‘five emerging technologies‘ JP Morgan Chase uses to enhance the cash management process.”