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:
AI applications for the banking and finance industry include various software offerings for fraud detection and business intelligence. There are also predictive analytics applications outside of these that help banks automate financial processes and services that they offer their customers and provide internal analytics.
The Federal Bureau of Investigation has figured in many works of fiction as well as documentaries because what they do fascinates people. The representations have not always been favorable, but most people agree they have spearheaded many advances in science and technology in law enforcement.
Predictive and prescriptive analytics seem to be the most common types of AI applications at the top medical device companies. These companies, particularly Becton Dickinson, Medtronic, and Fresenius Medical Care, tend to partner with AI firms and vendors to create software that they intend to sell to hospitals most often.
According to McKinsey, global gas demand is expected to reach 4,503 billion cubic meters (bcm) in 2035, showing a more than 1% annual growth from 3,736 bcm in 2017. Asia is expected to be the biggest consumer of the resource at 47%, followed by the rest of the world (24%), the Middle East (16%), and the United States (14%).
In recent years, the demand for greater cybersecurity has risen even among the everyday citizen. This is especially true for one’s personal and financial information, which fraudsters are constantly finding new methods of breaching accounts to find. This need for security has also risen in insurance, and numerous AI firms are selling claims fraud detection solutions to the insurance sector.
The military has always been at the forefront of advanced technology. Some of the most important applications we use every day, such as the Internet, were developed by or for military use. That said, the military is adopting predictive analytics at what seems to be a slower pace than industry, although there are likely applications for the technology that they choose not to publicize.