Automating engineering insights with machine learning

Machine learning has already delivered remarkable results in certain niches where pattern recognition is obvious, but it's making even bigger and longer lasting impacts on businesses that demand broad insights and efficiencies in their industries. The investments of tech giants in machine learning applications are drawing a lot of attention. Google's largest collection of developers outside its US headquarters is a research group dedicated to machine learning. Microsoft open sourced CNTK, Baidu released PaddlePaddle, Amazon decided to support MXNet on AWS, and Facebook created two deep learning frameworks. The wave of machine learning applications in the consumer space will spill over into industry, which will help engineers and managers improve business operations with automated data analysis.