Payment Industry Trends in 2017: Using Machine Learning to Fight Fraud

Fraud is increasingly becoming a problem in the online world as online shopping has become more and more popular. But fortunately, as more and more internet criminals are making fraudulent purchases and costing companies money, more and more advances are being made in the technology used to fight this epidemic. Technological advances in the area of machine learning are helping to stop these fraudulent charges before they start. This can be a powerful risk management tool for business owners as they look for ways to protect themselves and their livelihood. However to many, the topic of machine learning remains a mystery and many may not realize the potential benefits of this technology. With this in mind, let’s take a look at the subject of machine learning: what it is, how it works, and the potential it has for protecting businesses against payment fraud.

Machine Learning: What it is and How it Can Help

These days computers are smarter than they have ever been and as such this has led to many improvements in how they process payments. Machine learning is essentially the act of enabling a computer to solve problems or tell it how to act in certain situations. Teaching a computer how to identify patterns and make predictions is a complicated process that has been perfected over the past 60 years. It has been specifically helpful in the payment industry in that it gives computers the tools to identify patterns in payments and detect transactions that seem suspicious. This has an incredible benefit to companies that utilize online transactions as it saves them on costs associated with fraudulent charges and reduces the time and manpower that would normally be needed to catch fraud.

How Does Machine Learning Work?

At this point you are probably wondering how this all works. It may sound crazy, but we assure you it is much more than mere science fiction. Machine learning uses specific complex algorithms to analyze individual transactions and make an assessment for fraud. As it gathers data, it makes real time evaluations and makes decision on the legitimacy of a transaction. A major benefit of machine learning is that it is able to make decision quicker than any human. Machine learning uses artificial intelligence to make decisions about transactions much like the way the human brain does. The only difference is that it does it quicker and with more accuracy. Don’t you wish your brain could do that?

Can Machine Learning Help Protect my Business from Fraud?

Though it is not yet perfected, machine learning has incredible accuracy and can be a great benefit to your company by detecting fraud before it hits. As the technology progresses and there are more and more payment patterns to pull from, the technology will become even more accurate and become an even greater protection for businesses by taking taking preemptive measures against the risks that threaten their welfare.

All in all, this means of fraud protection has the potential to save you money by eliminating the need for time and manpower to be directed toward fraud prevention and by protecting your transactions from fraud with greater precision and accuracy. Artificial intelligence technology has made some recent significant advances and could be a game changer for the payment processing industry. The potential this technology has for the future is both intriguing and exciting. What are your thoughts on the subject of artificial intelligence and machine learning? Do you think it just sounds like science fiction or does it have potential for helping companies save money and better prevent fraud? When it comes to machine learning, is the best yet to come?