I have gathered a few insights from the World Economic Forum's The Future of Jobs Report to get you up to speed on what you need to know about the tech jobs of tomorrow. For schools and education systems considering the potential impact of machine learning on business procedures and job functions, it is not a question of whether -- but how much -- they'll put machine learning to use in driving innovation and growth. The Future of Jobs survey found that 73% of all companies intend to adopt machine learning in some form over the next three years. That impact will be immediately felt in the information and communications technology industry, with 91% of survey respondents intending to adopt machine learning by 2022. The two other industries shifting rapidly to embrace machine learning the most are the automotive, aerospace, supply chain and transport, with 87% and 82% of businesses in these industries expecting to embrace machine learning in some form by 2022, respectively.

While the fact of automation becoming mainstream brings up very real concerns about job displacement, schools can prepare by devoting resources and focus to the rise of key machine learning-related functions, include data analysts and scientists, AI and machine learning specialists, process automation experts and human-machine interaction designers. Complementary roles for example robotics engineers, blockchain specialists and information security analysts will also grow because of this. As businesses and homes become more automated there will be multiple tech gadgets and systems that need work.  As more tasks become automated, schools will need to evolve and prepare students for this change. To prepare for this upcoming industrial revolution, schools need to invest in their students and adapt to machine learning rather than being overcome by it. Perhaps more than any other emerging technology, machine learning sits at the crux of the Fourth Industrial Revolution because of its potential to drastically change the nature of tasks, job functions and necessary skills. 2018 was a bellwether year for machine learning, with companies growing their AI initiatives to advance autonomous driving, information security, fraud detection and personalization of their retail experience, one of numerous applications. And it doesn't seem to be slowing down. In other words: Individual creativity, deep work and cognitively demanding jobs will get a boost as guide administrative tasks such as data entry, bookkeeping and accounting are handled through automation. It is important to understand where tech is headed and how colleges and schools are adapting their lectures and applications related to tech. Schools overwhelmed by the possibility of adopting machine learning technology in a large scale should concentrate on finding value and time savings in crucial organizations where adoption will be seamless, and utilize those successful test cases as a roadmap for other organizations. For instance, beginning with accomplishing simple, repeatable tasks in IT frees humans from repetitive work and empowers them to dedicate time to creative and strategic activities. Those actions will subsequently fuel continued technological innovation.

That, in turn, supports the use of artificial intelligence (AI), automation and enormous innovation across industries.

Some estimates indicate that, new technologies (such as machine learning) may displace 75 million jobs during the next three decades. Yet the possibility of new jobs to emerge is much larger, representing a predicted 133 million jobs -- a substantial net growth in employment. We need to increase the amount of education a student can receive with technology to prepare the future gap we will have with these tech related jobs.

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