10 Pragmatic Expectations for Machine Learning Technologies in 2019

Every new year brings new expectations and hopes for technology markets. In the case of machine learning, the space is moving so fast that is hard to differentiate hype from reality. Many of the ground-breaking advancements in machine learning or artificial intelligence(AI) research are simply unpractical to apply in real world solutions and many of the basic artifacts needed to streamline the adoption of machine learning technologies in real world scenarios are still missing. At Invector Labs, we spend a lot of time building large scale machine learning solutions. As a result, we are in constant exposure to different machine learning technology stacks as well as the latest research from academic institutions.