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:

Artificial Intelligence for Military Logistics - Current Applications

Artificial Intelligence for Military Logistics – Current Applications

Logistics in the military encompasses more functions than most people realize. In modern warfare, that means large quantities of data to sift through in order to make decisions regarding supply, transport, communications, and so on. Using artificial intelligence (AI) and machine learning (ML) in one or more areas in logistics could help speed up that process and make it more agile.

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Artificial Intelligence for Clinical Trials in Pharma – Current Applications

AI applications for automating processes in clinical trials are among the most prominent AI applications for the pharmaceutical industry. AI vendors are currently offering software that allows pharmaceutical companies to leverage their scientists' notes for data science projects regarding their future trials. Additionally, there are some applications which help companies segment their customers into easily navigable groups when finding patients for clinical trials.

AI-based Document Digitization in Banking - Current Applications

AI-based Document Digitization in Banking – Current Applications

Optical character recognition (OCR) is a subset of machine vision technology that focuses on recognizing written letters and characters and reproducing them digitally for later use. This opens up many possibilities for the banking industry, including some security solutions, and notably, document digitization.

Artificial Intelligence in Medical Robotics - Current Applications and Possibilities

Artificial Intelligence in Medical Robotics – Current Applications and Possibilities

AI applications in healthcare are becoming more common for white-collar automation and diagnostics. However, medical robotics is an area that may be marginally underdeveloped. This is likely because of regulations concerning automated surgery.

AI-Based Fraud Detection in Banking - What's Possible

AI-Based Fraud Detection in Banking – Current Applications and Trends

Since the early 2010s, major banks have used anomaly detection - an AI technique for identifying deviations from a norm - for automating fraud, cybersecurity, and anti-money laundering processes.

AI for Homeland Security - Current Applications

AI at the US Department of Homeland Security – Current Projects

The Department of Homeland Security (DHS) routinely handles large amounts of data. Its mandate is to “keep America safe,” and that encompasses many fronts. This includes anything to do with potential threats to the nation, ranging from border security to cybersecurity, so “big data” would be an understatement. Using machine learning and artificial intelligence technology for Homeland Security was inevitable.

Artificial Intelligence for Pharmaceutical Research and Development

Artificial Intelligence for Pharmaceutical Research and Development

The facilitation of research and development (R&D) is perhaps the most common use case for AI applications in the pharmaceutical industry. There are numerous solutions for extracting and organizing research data from clinical trial notes and other medical documents. Additionally, there is software that can purportedly analyze data from images of drug compounds at the molecular level.

Big Data in the Military - Intelligence Gathering and AI

Big Data in the Military – Preparing for AI

Large volumes of data, managed properly, are a boon for many industries, including the military. It would not be possible to mount effective military operations without knowing the when, where, and what in deploying resources. Military big data, therefore, helps defense leaders make better decisions, provided it is not “dark data.”