The sobering reality is that most organizations’ data analytics remain in the early phases, at the descriptive and diagnostic levels that tell a “what” and “why” story but for one reason or another, have either not yet reached the crucial “what to do” phase of the story that prescriptive analytics provides or are drawing their own findings and solutions without the rigid process of prescriptive analysis, which only guarantees failure for the organization’s data-driven endeavo

The rapidly evolving AI landscape has given rise to not only unprecedented levels of innovation driven by AI but also a slew of challenges..

Data is a valuable asset for any organization. However, for data to realize its value, it needs to be transformed into comprehensible and...