I have a PhD in AI and I'm having trouble figuring out exactly what's being announced here. Like, check this out: > Building on advanced research in program synthesis (PROSE) and data cleaning, we have created a data wrangling experience (Figure 1) that drastically reduces the time that data scientists have to spend in transforming data for machine learning. Huh? > Figure 1: AI-powered data wrangling in the workbench…
What you're describing are tools for data engineering - sanitizing real-world datasets to be fed into models. Researchers do not have to deal with this task as much because they work with well-defined datasets to provide fair comparisons of the algorithms they develop. Industry is the opposite - the algorithms are usually formulaic and well-defined, but the data itself is not.