In fact, there’s a long history of the “Information Pyramid,” of Data – Information – Knowledge – Wisdom; it’s probably more applicable today than ever.

Data > Information > Knowledge > Wisdom (DIKW) model Even though an organization must use data and information to know sooner and know better, this leaves out a significant piece of the picture.

It is called the “Knowledge Hierarchy” or "Knowledge Pyramid" and also goes by the acronym DIKW, which stands for Data, Information, Knowledge and Wisdom.

In the end, however, machine learning can neither be equated to human knowledge, nor can it mature into wisdom. Data, information, knowledge, wisdom: the degrees of comparison for data.

It is called the “Knowledge Hierarchy” or "Knowledge Pyramid" and also goes by the acronym DIKW, which stands for Data, Information, Knowledge and Wisdom.

The data-information-knowledge-wisdom hierarchy seemed like a really great idea when it was first proposed. But its rapid acceptance was in fact a sign of how worried we were about the real value ...