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:
Militaries around the world are starting to make increasing investments in artificial intelligence and machine learning capabilities. The top military defense contractors in the US, Europe, and Israel are all working on AI software to sell into the defense sector. That said, the military adoption of AI is as of right now slow in comparison to that of contractors.
There are many Indian startups claiming to develop artificial intelligence software to help the healthcare industry. However, their websites are filled with marketing terms and hype that could lead one to believe a company leverages AI when it does not. In sectors with a booming landscape of startups, we caution readers to take a closer look at each company before considering any of their solutions.
The insurance industry is making use of various artificial intelligence applications to solve business problems, but perhaps the most versatile is predictive analytics. The ability to aggregate data from disparate sources for business intelligence allows business leaders in insurance to inform important decisions across departments.
As we've done with our article on AI at the top 5 US defense contractors, this report discusses the artificial intelligence initiatives at the top four military defense contractors of Israel by revenue. Although Israel is a nation just 70 years old, it possesses one of the most modern militaries in the world.
The Patient Protection and Affordable Care Act (ACA) has significantly changed the landscape for how healthcare providers can be reimbursed by insurers. They are now reimbursed based on the guidelines set by Value-based Purchasing (VBP) models. This type of payment model reimburses the healthcare provider based on the quality of their work with the insured patient.
The healthcare industry is perhaps second only to finance when it comes to the sheer amount of historical data available for use with artificial intelligence. Data from EMRs, insurance claims, clinical trials, and drug research and development can all be pulled into a machine learning algorithm to generate insights on patient behavior, patient risk, and effective treatments for a variety of conditions, among a variety of others.