Automating machine learning puts analytical models on autopilot

More than basic machine learning models are becoming automated. Today, software exists that can do more complicated tasks, like natural language processing and generation that does not require coding. In the future, even AI could be automated for enterprises. For example, San Antonio-based USAA is using a natural language tool from Narrative Science that runs machine learning algorithms to automatically generate verbal descriptions of metrics included in business intelligence reports. Luke Horgan, director of digital channel analytics at the insurance company, said this enables his team to answer a broader array of questions than they were previously capable of tackling.