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:

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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

There are numerous AI applications making their way into large banks - and fraud is a major area of nascent AI investment in banking.

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.