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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AI in SupTech (Supervisory Technology) – Current Finance Applications

We have identified three areas in finance where companies are applying AI to solve real business problems: fintech, regtech, and suptech.

Artificial Intelligence in the Pharmaceutical Industry 950×540

Artificial Intelligence in the Pharmaceutical Industry – An Overview of Innovations

Several factors have contributed to the advancement of AI in the pharmaceutical industry. These factors include the increase in the size of and the greater variety of types of biomedical datasets, as a result of the increased usage of electronic health records.

AI and Machine Learning for Clinical Trials - Examining X Current Applications

AI and Machine Learning for Clinical Trials – Examining 3 Current Applications

The clinical trial is a foundational pillar of the pharmaceutical drug discovery process. Essentially, clinical trials are research studies which seek to determine if a medical treatment or device is safe and effective for humans. While the pharmaceutical drug industry has experienced some fluctuations it remains a profitable market. Global prescription drug expenditures are estimated to reach nearly $1.5 trillion by 2021 according to Quintiles IMS Holding.  

AI in Building Automation - Current Applications

AI in Building Automation – Current Applications

In our previous report, we covered the current use cases for AI in construction and building. As of now, numerous companies claim to assist building maintenance managers in aspects of their roles from optimizing energy usage in building to improving the comfort of building occupants.

AI for Predictive Maintenance Applications in Industry - Examining 5 Use Cases

AI for Predictive Maintenance Applications in Industry – Examining 5 Use Cases

With the entrance of artificial intelligence and its capabilities of recognizing temperature, vibration, and other factors from sensors pre-built into machinery and vehicles, business leaders in heavy industry might be interested in the possible opportunities of predictive and preventative maintenance applications.

AI for Mobile Medical Diagnostics - 4 Current Applications

AI for Mobile Medical Diagnostics – Current Applications

Before getting into this report, we have to inform readers that none of the companies discussed below claim to offer software that provides diagnostics, except Cognoa, which has FDA approval to call itself a diagnostic tool. We suspect this is because these companies are not legally allowed to do so. We usually don't refer to a dictionary to determine what constitutes a concept, preferring to create our own informed definitions, such as in our What is Machine Learning? piece, but Merriam Webster defines "diagnosis" as the following: "the art or act of identifying a disease from its signs and symptoms."

AI in the Indian Financial Sector - Current Traction, Opportunities and Challenges

AI in the Indian Financial Sector – Current Traction, Opportunities and Challenges

The banking and financial sectors are among the top five applications for artificial intelligence across the globe. With India seeming to have woken up to the potential of AI, we decided to cover the developments in the Indian artificial intelligence sector. We then researched the use of AI in the Indian financial services market to better understand where AI comes into play and to answer the following questions:

Machine Vision for Self-Driving Cars - Current Applications

Machine Vision for Self-Driving Cars – Current Applications

MicKinsey estimated that by 2030, up to 15% of cars sold will be autonomous vehicles. We detailed our own timeline for self-driving cars, pooling quotes and insights from executives at the top 11 global automakers.