AI Sector Overviews Articles and Reports
Artificial intelligence “sector overview” reports are designed to help business leaders explore the possibilities and important AI trends across industries. Search our sector overview reports below:
Many large banks and financial institutions are beginning to digitize parts of their business processes to prepare for future initiatives in automation and machine learning. This is particularly true with loan processing. These functions could become faster and more accurate if they use digitized data that is more easily accessible than paper documents.
In this brief overview, we run through several use-cases for voice recognition software in the healthcare industry. Voice recognition software, built on natural language processing (NLP) algorithms, primarily finds a home in the doctor's office. Physicians use it to dictate their notes into their healthcare network's system or update patient electronic medical records (EMR).
It can be difficult for financial institutions to keep up with the rapid changes in the digital marketing and advertising landscape. There are numerous factors which are susceptible to change, and they all have an effect on how useful certain marketing strategies are. As the internet and advertising evolve, some companies may find it important to consider an automated solution to driving efficiency in marketing.
There are numerous AI vendors servicing the banking industry, but many of them lack the kind of funding that these five vendors have raised. In this article, we run through the top 5 AI vendors in banking by funding according to information on Owler. We provide an overview of their products and the AI tech that makes them possible.
Money laundering is a financial fraud method unique to what AI vendors and other solutions providers refer to in their “fraud detection” offerings. This is because the technique centers on making fraudulent money transfers that appear to be validated by two willing parties.
Several high-profile banks are leveraging anomaly detection solutions for fraud and anti-money laundering. While some banks and AI firms provide information on how their solution works or how their chosen solution worked for them, it can be hard to determine which ones are successful today.
Many financial institutions are experimenting with chatbots both for general customer service and for offering new and better financial services to their customers. In addition to banks and insurance companies, other types of financial services companies can benefit from this type of application as well. Financial customers can now check the status of their loan applications and stock portfolios and request refunds using AI-powered conversational interfaces.