The Growing Machine Learning Talent Gap and how to Bridge it
Today business enterprises are trying to bring machine learning into their arsenal, but without the right skills they will likely fail. The number of jobs that machine learning could make redundant over the next few decades is a growing cause of concern amongst many of us. According to a research study conducted by the PwC, 38% of jobs in the United States will be automated by the end of 2030, while in other parts of the world it would be somewhat less. In the United Kingdom, it will be 30%, and in Germany, 35%. While it can’t be denied that hundreds of thousands of jobs will be lost, as with all periods of technological advancement, we will witness the creation of new jobs. Many of these new jobs will be dedicated to developing and supervising machine learning algorithms, helping business enterprises to incorporate and implement the technology and bring in efficiencies in their business operations. To some extent this has already begun. According to Indeed.com, a popular jo