AI Articles and Analysis in Finance

Facial recognition software is making its way into the mainstream, with consumer applications such as the ability to unlock one’s smartphone with their face. The banking sector has been at the forefront of enterprise adoption of AI since machine learning became the hot topic of the business world in the early years of the decade; as such, it makes sense that facial recognition technology would start to make its way into banking.

There are several companies claiming to offer AI solutions to banks and financial institutions. We found that these solutions are intended to help banking and finance companies with at least one of the following business problems:

Episode Summary: Many machine learning applications in business can be boiled down to some form of decision support. There are big decisions like deciding whether or not to merge or acquire another company, and there might be smaller decisions like whether or not a tumor has enough traits that make it seem like it's worth a surgical procedure or if it's worth leaving alone.

According to a 2017 report by the Financial Stability Board, artificial intelligence (AI) and machine learning firms managed assets of over $10 billion in 2017, with further growth projected in the next five years. The reasons for this are clear; AI can now present wealth managers with new capabilities to enhance and further personalize their services, at scale.

It seems that the majority of AI solutions for payment processing are focused on fraud detection and prevention. Some companies claim to offer straight-through processing software as well. Below, we detail four companies that all claim to offer artificial intelligence to banks and payment processors looking for solutions in two key areas:

Several companies offer AI-based credit scoring applications to banks and enterprise creditors looking to better understand the risk associated with their potential borrowers. Traditional methods of credit scoring take into consideration the credit histories of potential borrows, but this might not allow certain people access to credit despite the fact that they could pay their loans back when their payments are due.

There are several companies claiming to offer AI document digitization solutions to banks, insurance enterprises, and other financial institutions. We found that these solutions are intended to help financial institutions with at least one of the following business problems:

IDC estimated the size of overall AI-related spending in the banking industry in their Worldwide Semiannual Cognitive Artificial Intelligence Systems Spending Guide report at around $3.3 billion in 2018. It follows that AI would find its way into the banking world. We covered the current state of AI banking applications in the US and India in our previous reports, and in this report, we're going to focus on where AI can be leveraged for customer service applications in banking. This report covers vendors offering software across three functions: