Getting to machine learning in production takes focus

Data scientists tend to like to use languages like Python, while production systems run Java. To bridge this gap, Comcast has been building a set of Jython components for its data scientists. Jython is an implementation designed to enable data scientists to run Python apps natively on Java infrastructure. It was first released in 1997 and has grown in popularity among enterprises launching machine initiatives because Python is commonly used by data scientists to build machine learning models. One limitation of this approach is that it can't take advantage of many of the features running on Flink.