AI Articles and Analysis in Finance

Automated loan processing and underwriting is not a new concept in the banking and financial services industry. Lenders have consistently faced pressure to reduce the costs and time associated with internal loans processing and turnaround.  

Since the advent of online banking services, customers have had several different ways of communicating with their banks. Banks need to monitor all of these incoming customer requests and respond to them in the most efficient way possible. Further, each of the various channels of communication represents a valuable way to segment customers to not only improve how they perceive a bank’s brand but also to market banking products to them better.

Insurers are looking to leverage all of the digital customer data that is now available to them, including one new data source that some of the largest insurance enterprises claim are actively collecting: real-time data streams from the Internet of Things (IoT).

Identity fraud was the number one method of fraud that affected businesses globally according to The Communications Fraud Control Association's (CFCA) Fraud Loss Survey.

Chatbots are one of the most talked-about uses of natural language processing (NLP) software in business. Some of the most common application areas for chatbots include customer service, healthcare, and financial advisory.

Robotic Process Automation (RPA) is a rule-based software solution that automates repetitive tasks without any self-learning capabilities. It is not inherently artificial intelligence. RPA vendors now offer AI-tools as add-ons to their automation platforms. This includes RPA applications in banking where some form of AI, such as computer vision or natural language processing, is a part of the automation workflow.

The insurance industry is responsible for a multitude of sensitive financial data concerning both its customer base and staff. Any breach to an insurance company's CRM or other claims database could compromise the personal data of multiple people at once, which puts the company at risk as well.

Hackers are cyberattackers are using more sophisticated methods to break into digital networks; they themselves have also started employing artificial intelligence techniques to bypass detection systems.