What we're finding in our classrooms is that differentiation is necessary here, too... some students can handle lots of ambiguity and others need more structure... (edweek.org)
Some things are difficult to measure quantitatively, but those cases are usually where it's most important to try because you can cut through a lot of ambiguity and save yourself time in the long run.» (inc.com)
«It's bleeding edge, A.I. and machine learning and analytics and data scientists, and all of it wraps into this one space with lots of buzzwords, which leads to lots of ambiguity.» (cnbc.com)