How AutoML is helping to bridge the artificial intelligence skills gap

In 2017, over half of senior artificial intelligence (AI) professionals stated that a lack of qualified personnel in their field is the single biggest barrier to AI implementation across businesses. As more and more companies choose to explore AI, deep learning and machine learning (ML), this knowledge gap begins to cause some serious problems. The solution may be in de-humanising ML functions by using automatic (also known as augmented or assisted) ML techniques. AI experts are costly, with a reported average annual salary of $314,000. But before you can even worry about affording an AI expert, you have to find one.