Augmented Analytics

For now not replacing but rather augmenting people.    Unlike the article I would say this has been around for a long time. 

Augmented Analytics Drives Next Wave of AI, Machine Learning, BI

Business intelligence will move beyond dashboards, and AI and machine learning will become easier for less skilled workers as augmented analytics are embedded into platforms.
Enterprises struggling to get their data management and machine learning practices up to speed in an era of more and more data may be in for a nice surprise. After years of bending under the weight of more data, more need for insights, and a shortage of data science talent, augmented analytics is coming to the rescue. What's more, it could also help with putting machine learning into production, something that has been an issue for many enterprises.

Identified as a major trend by Gartner at its Symposium event last year, augmented analytics has been around for several years already, according to Rita Sallam, distinguished research VP and Gartner fellow. But in recent years the concept has expanded to encompass automation of many of the processes that are required by the entire data pipeline. That includes tasks such as profiling, cataloging, storage, data management, generating insights, assisting with data science and machine learning models, and operationalization, according to Sallam, who was set to present a session about augmented analytics at the now postponed Gartner Data and Analytics Summit that has been rescheduled for September ... "