Machine learning has moved from the stuff of science fiction to a staple of modern business, as organizations across nearly every industry vertical implement ML technologies.
Doctors are using machine learning to more accurately diagnosis and treat their patients, retailers are using ML to get the right merchandise to the right stores at the right time, and researchers are utilizing the technology to develop effective new medicines.
That is just a sliver of the use cases emerging, as all sectors -- from energy and utilities, to travel and hospitality, to manufacturing to logistics -- and the various functions within any given organization increasingly put machine learning to work.
Machine learning is a subset of artificial intelligence, where computers use algorithms to learn from data, allowing the machines to identify patterns -- a capability that organizations can put to use in multiple ways.
Experts said machine learning enables organizations to perform tasks on a scale and scope previously impossible to achieve. As a result, it speeds up the pace of work, reduces errors and improves accuracy, thereby aiding employees and customers alike. Moreover, innovation-oriented organizations are finding ways to harness machine learning to not just drive efficiencies and improvements but to fuel new business opportunities that can differentiate their companies in the marketplace
Machine learning is improving almost any function and process automation by enabling operational adaptation based on changing conditions," said Bruce Guptill, chief strategist at Addressable Markets, and a member of The Analyst Syndicate community of independent analysts.
Here are 10 applications of machine learning that are being used to solve business problems and deliver tangible business benefits.
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https://searchenterpriseai.techtarget.com/feature/10-common-uses-for-machine-learning-applications-in-business
