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:

Boeing's AI Applications for the Military - Autonomous Jets, Subs, and Spacecraft

Boeing’s AI Applications for the Military – Autonomous Jets, Subs, and Spacecraft

Boeing offers a number of autonomous vehicles to the military, which it claims can help military operators effectively complete both routine and critical missions with less risk of endangering the lives of military operators. In 2017, Boeing Defense, the predominantly non-commercial division of Boeing that focuses on government contracts, reported 29.5 Billion dollars in revenue. This makes it the second largest defense contractor for the US military and the world. Boeing, established in 1916,  is a publicly traded company that employs over 120,000 people.

AI for Electronic Health Records (EHRs) and Electronic Medical Records (EMRs)

AI for Electronic Health Records (EHRs) and Electronic Medical Records (EMRs)

There are several companies claiming to offer AI solutions to healthcare companies, as we've explored extensively in our past reports. In this particular report, we focus on AI as it pertains to working with electronic health records (EHRs) and electronic medical records (EMRs). AI vendors offer solutions to hospitals and clinics with a variety of functions.

AI In Aerospace - Current Applications and Innovations

AI in Aerospace – Current Applications and Innovations

According to Accenture, approximately 66% of A&D executives polled indicated they are looking at investing in AI for 2019, particularly on security, production, and R&D. 80% believe that AI-based decisions will have a direct impact on the workforce by 2021.

Military Applications of Machine Vision - Current Innovations

Military Applications of Machine Vision – Current Innovations

This report attempts to highlight the wide array of real-world use cases of machine vision in the military. Several militaries claim to leverage machine learning, working with contractors and companies in some cases to deliver AI solutions. We found that these solutions help highlight the wide breadth of current and near-term military applications of machine vision. The companies and organizations discussed in this report help various militaries with at least one of the following:

AI and Machine Learning in the European Pharmaceutical Industry

AI and Machine Learning in the European Pharmaceutical Industry

Accenture reports that in 2017, the 16 top biopharmaceutical companies in the world had an aggregate global revenue of $428 billion, which was nearly half the global pharmaceutical market by net sales. The report also revealed a shift to specialty drugs for hard-to-treat diseases.

AI for Payment Processing - Current Applications

Artificial Intelligence in Payment Processing – Current Applications

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:

AI for Credit Scoring - an Overview of Innovation

AI for Credit Scoring – An Overview of Startups and Innovation

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.

An Overview of AI Document Digitization in Finance

An Overview of AI Document Digitization in Finance

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: