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How artificial intelligence is used in the fintech sector.
How artificial intelligence is used in fintech.
Smartphones, smartwatches, homes, automated stores and restaurants, the internet of things, chatbots, personalized ads, autopilots and self-driving cars ... This is no longer science fiction. Artificial intelligence (AI) is so integrated into our daily life that we have stopped noticing it.
Fintech companies are also actively involved in the global evolution of artificial intelligence. In this article, the PaySpace Magazine editors will look at the main cases of using AI in finance.
Reminders for upcoming payments
Most mobile banking applications analyze information from the client's personal account in order to remind him in time to pay utility bills, installment payments or make a planned replenishment of the deposit.
Overdraft warnings
The convenience of credit cards sometimes leads to irresponsible spending. Rather, it was so before the advent of AI algorithms. AI now monitors the balance of the card and warns in time about a low balance. This way the user avoids overdraft.
Fraud prevention
When you access online banking from a new device, carry out unusually large transactions or too many payments in a short time, the bank will warn you about possible fraud. AI algorithms help financial institutions detect suspicious financial transactions and notify the user by phone, email, text or PUSH notification.
In some cases, users will even have to call the bank and personally confirm the transaction by answering additional security questions.
Pricing
Uber recently announced that it will use artificial intelligence to bill customers. This means that now the fare will be based not only on obvious parameters (time, distance, demand), but also on the passenger's ability to pay. For example, the average well-being of the residents of the district will be taken into account where the passenger is leaving from and where he is going, as well as the likelihood that this is a business trip.
Recommendations
Online platforms often analyze the user's habits in order to offer him suitable products and services. Already Amazon's or Netflix's algorithms are impressive with their high fidelity. Not only do they offer the right products or content. They do it exactly at the moment when the customer is ready to make a purchase.
Virtual financial advisors
Help you manage your financial plans, savings and expenses wisely.
Credit risk assessment
Analyzing a borrower's credit rating and potential risks is a tedious and painstaking job. So why not outsource this piece of work to artificial intelligence? It will increase the efficiency of proposals and speed up the processing of applications.
Automating refund requests
Charging insurance premiums can be long and difficult if not involving AI robots. They will verify information, help predict required payments, and prevent insurance fraud.
Analysis of contracts
Artificial intelligence and machine learning are used to digitize and interpret printed documents, and to quickly fix contracts. One option is blockchain-based smart contracts .
Customer retention
AI helps to compile a list of customers who are considering unsubscribing from the company's services. For the calculation, information is used about the refusal to receive informational messages from the company, complaints, calls to the support service in connection with problems.
Many fintech companies have successfully implemented artificial intelligence to excel in their field. For example, Feedzai has developed a powerful AI platform to combat retail fraud. Their service helps banks, merchants and businesses manage the risks of online and offline payments. American startup Juvo offers microloans to clients in emerging markets. The company uses AI to determine a user's creditworthiness in real time. And Kasistooffers an AI-based support service. The virtual assistant is smart enough to distinguish and solve common user problems. This is not a complete list of fintech startups that use AI. In the future, there will be more and more such companies, because artificial intelligence makes it easier to work with financial services.
How artificial intelligence is used in fintech.
Smartphones, smartwatches, homes, automated stores and restaurants, the internet of things, chatbots, personalized ads, autopilots and self-driving cars ... This is no longer science fiction. Artificial intelligence (AI) is so integrated into our daily life that we have stopped noticing it.
Fintech companies are also actively involved in the global evolution of artificial intelligence. In this article, the PaySpace Magazine editors will look at the main cases of using AI in finance.
Examples of AI implementation in the fintech sector:
Reminders for upcoming payments
Most mobile banking applications analyze information from the client's personal account in order to remind him in time to pay utility bills, installment payments or make a planned replenishment of the deposit.
Overdraft warnings
The convenience of credit cards sometimes leads to irresponsible spending. Rather, it was so before the advent of AI algorithms. AI now monitors the balance of the card and warns in time about a low balance. This way the user avoids overdraft.
Fraud prevention
When you access online banking from a new device, carry out unusually large transactions or too many payments in a short time, the bank will warn you about possible fraud. AI algorithms help financial institutions detect suspicious financial transactions and notify the user by phone, email, text or PUSH notification.
In some cases, users will even have to call the bank and personally confirm the transaction by answering additional security questions.
Pricing
Uber recently announced that it will use artificial intelligence to bill customers. This means that now the fare will be based not only on obvious parameters (time, distance, demand), but also on the passenger's ability to pay. For example, the average well-being of the residents of the district will be taken into account where the passenger is leaving from and where he is going, as well as the likelihood that this is a business trip.
Recommendations
Online platforms often analyze the user's habits in order to offer him suitable products and services. Already Amazon's or Netflix's algorithms are impressive with their high fidelity. Not only do they offer the right products or content. They do it exactly at the moment when the customer is ready to make a purchase.
Virtual financial advisors
Help you manage your financial plans, savings and expenses wisely.
Credit risk assessment
Analyzing a borrower's credit rating and potential risks is a tedious and painstaking job. So why not outsource this piece of work to artificial intelligence? It will increase the efficiency of proposals and speed up the processing of applications.
Automating refund requests
Charging insurance premiums can be long and difficult if not involving AI robots. They will verify information, help predict required payments, and prevent insurance fraud.
Analysis of contracts
Artificial intelligence and machine learning are used to digitize and interpret printed documents, and to quickly fix contracts. One option is blockchain-based smart contracts .
Customer retention
AI helps to compile a list of customers who are considering unsubscribing from the company's services. For the calculation, information is used about the refusal to receive informational messages from the company, complaints, calls to the support service in connection with problems.
Many fintech companies have successfully implemented artificial intelligence to excel in their field. For example, Feedzai has developed a powerful AI platform to combat retail fraud. Their service helps banks, merchants and businesses manage the risks of online and offline payments. American startup Juvo offers microloans to clients in emerging markets. The company uses AI to determine a user's creditworthiness in real time. And Kasistooffers an AI-based support service. The virtual assistant is smart enough to distinguish and solve common user problems. This is not a complete list of fintech startups that use AI. In the future, there will be more and more such companies, because artificial intelligence makes it easier to work with financial services.
