Machine learning (ML) applications are increasing the efficiency and improving the accuracy of business functions ranging from decision-making to maintenance to service delivery.

 

Copyright: techtarget.com – “Top 12 machine learning use cases and business applications”


 

SwissCognitive_Logo_RGBExecutives across all business sectors have been making substantial investments in machine learning, saying it is a critical technology for competing in today’s fast-paced digital economy.

“Machine learning is the backbone of today’s business, turning data into insights and insights into action and predictability. That’s why machine learning is highly useful,” said Adnan Masood, chief AI architect at UST, a digital transformation solutions company.

The proof? Masood pointed to the fact that ML supports a large swath of business processes — from decision-making to maintenance to service delivery.

That, in turn, is driving the ongoing adoption of machine learning, with technology and business leaders implementing ML capabilities throughout their operations.

Machine learning, a subset of AI, features software systems capable of analyzing data and offering actionable insights based on that analysis. Moreover, it continuously learns from that work to produce more refined and accurate insights over time.


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It is a powerful, prolific technology that powers many of the services people encounter every day, from online product recommendations to customer service chatbots.

In fact, experts said that many of the AI capabilities used by companies today are specifically associated with machine learning.

The benefits of machine learning can be grouped into the following four major categories, said Vishal Gupta, partner at research firm Everest Group.[…]

Read more: www.techtarget.com