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

The data-information-knowledge-wisdom model puts artificial intelligence in its proper place.

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.

At its core, the well-established DIKW model (Data, Information, Knowledge, Wisdom) is still a valuable framework to help us understand how data or information alone does not yield actionable ...

In order to become information, these data should be interpreted by making some connections, for example, which were the consensus estimates, our own or those of the managers of the company.

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