Abstract
A CEO receives 10,000 emails. One assistant forwards all of them, while another sends a one-page summary of the priorities. The second seems more intelligent because it compressed a mountain of information into something useful. But compression alone is not intelligence. This article explores the distinction between reducing information and preserving relevance, and why the most useful representation is not always the shortest one.
Type
Publication
Published on Medium and Substack
Shanaka C. DeSoysa
Transforming Businesses through AI-driven Innovation
My research interests include data science, machine learning, and computer science.