The pandemic has presented data scientists and business intelligence managers with a thorny problem: how do you predict the future when all your models are built around assumptions from a pre-Covid world? Nothing is as it was. Which means most models are now essentially useless.
The information era is undergoing a reset that is as harrowing as it is fascinating. What relationships between datasets are now significant? And what sort of pitfalls does co-mingling them introduce?
Find out. Read my latest CIO Magazine column, Covid Times Call for Covid Measures, HERE.