It won’t be long before “skilled in machine learning” becomes the new “proficient in Excel” as a standard bullet point on your resume. The only difference? What you bring to table will be more valuable than a pivot tables or color-coded pie charts.
The day when any average Joe can train an algorithm along with his morning coffee is well within reach. The experience of using artificial intelligence is becoming more accessible, and choosing an algorithm to create an end-of-year report will soon be as simple as selecting a template in Microsoft Word. New hires will see promotions come quicker, startups will see faster growth, and the traditional enterprise businesses will see efficiency integrated into their corporate culture, whether they like it or not.
We’re already building machine-learning skills on a daily basis. When we flag a spam email or skip video ads on YouTube, we are training algorithms to apply statistical methods to data so computers can learn what humans want and serve us better content without requiring constant intervention. Training algorithms like this is called “machine learning,” and as this process becomes easier to deploy in more places, we will be able to train AI to do more than just sort our emails or filter our ads.