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Experts look at artificial intelligence as a factor of production, that has the potential to introduce new sources of growth and change the way work is done across industries. In fact, AI technologies could increase labour productivity by 40% or more by 2035, according to a recent report by Accenture. This could double economic growth in 12 developed nations that continue to draw talented and experienced professionals to work in this field.
According to Gartner’s 2019 CIO Agenda survey, the percentage of organizations adopting AI jumped from four to 14% between 2018 and 2019. Given the benefits that AI and machine learning (ML) enable in business analysis, risk assessment, and R&D — and, the resulting cost-savings — AI implementation will continue to rise in 2020.
However, many organizations that adopt AI and machine learning don’t fully understand these technologies...
Why Pursue AI and Machine Learning Courses?
As data science and AI industries continue to expand, more people are beginning to understand just how valuable it is to have a qualified AI Engineer or data scientist on their team. As a matter of fact, Indeed.com revealed that job postings for data scientists and AI rose over 29% between May 2018 and May 2019.
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Source: Analytics India Magazine