The worldwide market of AI is projected to exceed 1.8 trillion by 2030, and the annual expenditure on AI in enterprises is also increasing. Nevertheless, algorithms are not the key to AI success. It is driven by data. More particularly, to what extent the data is engineered.
Since enterprises are embracing AI on a large scale, data engineering ceases to be a support mechanism. It is emerging as one of the most business-strategic positions in the transformation of AI in enterprises.