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:

Machine Learning for Nursing - 8 Current Applications

Machine Learning for Nursing – 8 Current Applications

With an ongoing nurse shortage in the United States and other areas, startups and global companies have begun developing methods for handling time-consuming responsibilities traditionally held by nurses, ranging from daily operations to diagnosis.

AI for Virtual Medical Assistants - 4 Current Applications 1

AI for Virtual Medical Assistants – 4 Current Applications

Virtual assistants operating in response to voice or text interactions have steadily gained traction and formed a profitable sector, according to Research and Markets. The market research firm projects that total revenue will hit $15.8 billion in 2021 up from $1.6 billion in 2015. The firm also estimates that total global consumers will reach 1.8 billion by 2021.

Artificial Intelligence for Clothing and Apparel - Current Applications

Artificial Intelligence for Clothing and Apparel – Current Applications

The fashion industry has grown at 5.5 percent annually in the past decade, according to the McKinsey Global Fashion Index, and in 2016 was estimated to be worth $2.4 trillion.

Machine Learning for Marketing Agencies - Current and Future Applications

Machine Learning for Marketing Agencies – Current and Future Applications

A collaborative report by Moore Stephens and WARC estimated the size of the martech industry around $34.3 billion dollars in 2018. It follows that AI would find its way into the marketing world. Marketing experts agree that AI will have a significant impact on the marketing world in the coming years. As of now, numerous companies claim to assist marketers in aspects of their roles from garnering insights from dashboards to automating spend on ad networks.

AI for Pricing - Comparing 5 Current Applications

AI for Pricing – Comparing 5 Current Applications

In recent years, artificial intelligence has enabled pricing solutions to track buying trends and determine more competitive product prices. While static pricing keeps prices absolute, dynamic pricing adjusts prices to offer customers different prices based on external factors and their individual buying habits.

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Artificial Intelligence at Investment Banks – 5 Current Applications

In a 2017 symposium in Harvard’s Institute for Applied Computational Science, R. Martin Chavez, Deputy Chief Financial Officer of  Goldman Sachs explains that the company’s US cash equities trading division used to employ over 600 human traders back in 2000. Today that number is down to just two human traders, with the rest of the jobs being taken over by automated trading platforms that are managed by around 200 computer engineers.