Bank
Artificial intelligence (AI) can play an important role in banking.
Here are a few examples of how AI is being used in this sector :
Credit analysis
AI can be used to assess the creditworthiness of borrowers by analysing large quantities of financial, social and behavioural data, enabling more accurate and rapid decision-making on the granting of credit.
Fraud prevention
AI can quickly detect suspicious patterns of behaviour, spot potential fraudulent transactions and help protect customers from financial fraud.
Customised offers
AI makes it possible to create detailed customer profiles by analysing their financial behaviour, consumption habits and preferences, enabling banks and insurers to offer personalised products and services tailored to each customer.
Virtual assistance
AI-enabled chatbots and virtual agents can answer common customer questions, assist with banking transactions, provide information on products and services, and enhance the customer experience by offering 24/7 support.
Risk management
AI can help financial institutions identify emerging risks, manage credit portfolios, estimate insurance risks and optimise risk management strategies.
Automation of back-office tasks
AI can be used to automate administrative and repetitive tasks, such as document management and claims processing, freeing up human resources to focus on higher added-value tasks.
Prediction of market trends
AI can analyse data from the financial market and economic sectors to help banks make informed investment decisions and anticipate market fluctuations.
Investment management
AI can be used to analyse financial markets, evaluate investment performance and recommend personalised investment strategies for clients.
