Why Machine Learning Isn't Mainstream Yet

Thanks to great advancements in computational power, new algorithms, and better labeling of data, machine learning applications have flourished in recent years. From customer service chatbots to content recommendations, it now feels like this technology is everywhere. Unfortunately, much of machine learning's potential is still left on the table. Technical constrictions and complicated barriers lie in the way of this artificial intelligence (AI) subset becoming mainstream. Once these issues are resolved, more organizations and consumers than ever before will be able to practically leverage machine learning for their own benefit.