Before the internet, obtaining and transferring knowledge was difficult because knowledge dissemination was limited and the transfer process was slow in some cases and restricted in others, especially in developing countries. These countries mainly depended on receiving knowledge from others rather than producing it themselves. As a result, access to accurate, complete, and up-to-date knowledge was limited. Today, with the internet era and the evolution of artificial intelligence (AI), the problem has changed. Trillions of data are available. While this creates new opportunities, it also creates confusion and distraction. As a result, although data is easier to access than before, transforming it into meaningful information and applicable knowledge has become more challenging. This idea is reflected in the long-standing mission of Google: “to organize the world’s information.”
Nowadays, the competitive advantage of entities, organizations, and individuals no longer depends on who owns more data or who has access to it, and not only on who can classify data, organize it effectively, and transform it into information, then give that information meaning so that it becomes knowledge, as reflected in the DIKW model. What is increasingly important today is how to deal with knowledge rather than data, the ability to classify it properly by assigning appropriate titles, to contextualize it by identifying what is contextually relevant, actionable, and value-adding, and to integrate and connect it with other relevant knowledge to see the complete picture. This cannot be achieved without a deep understanding of knowledge and the ability to critically evaluate and apply it effectively, not just acquire it. The ability to structure and integrate knowledge in a holistic way is what leads to greater value and better decision-making.
Article By Dr. Eng. Amr H. Abayazeed - April 24, 2026.
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