AI Articles and Analysis about Business intelligence and analytics

This article has been sponsored by iMerit Technology and was written, edited, and published in alignment with Emerj’s sponsored content guidelines.

This article has been sponsored by IBM, and was written, edited, and published in alignment with Emerj’s sponsored content guidelines.

Nike was founded as Blue Ribbon Sports in 1964 and originally operated as a distributor for athletic shoes made by a Japanese firm. By 1971, Nike sold its own line of shoes and began using the company’s iconic Swoosh design. By the time Nike went public in 1980, the company had achieved a 50% market share in its domestic athletic shoe market.   

AT&T traces its history to 1875 when Bell Telephone was founded soon after Alexander Graham Bell patented his invention of the telephone. Today, AT&T is the world’s largest telecom and the largest mobile telephone service provider in the US. 

Founded in 1977 by a team of engineers led by Larry Ellison, Oracle became the world's largest database management company by 1987. Today, Oracle claims a long list of innovations including:

Square is a financial services company that aims to “build common business tools in unconventional ways so more people can start, run and grow their businesses.” Founded in 2009 in San Francisco by Twitter Co-Founder Jack Dorsey and Jim McKelvey, Square reports total net revenue of $9.5 billion for 2020.

General Electric (GE) was founded in 1889 by J.P. Morgan and Anthony J. Drexel who came together to finance Thomas Edison’s research and merge their companies together. Originally, GE was an industrial and consumer products company but today, more than 130 years later, GE has transformed itself into a multinational, digital industrial corporation ranked as the 33rd largest company in the United States by gross sales in 2020, according to Fortune 500.

The COVID-19 pandemic has caused incredible disruption in healthcare systems across the world, as well as an immediate demand for innovative solutions to the growing number of coronavirus patients. Many AI vendors are already trying to find ways they can serve this demand through augmenting their machine learning-powered products - from diagnostics interfaces to radiology solutions and everything in between.