The AI landscape is shifting from ‘data’ to ‘knowledge.’ Here’s why that matters

By Tomer Y. Avni, associate, Blumberg Capital & Eviatar Matania is a professor at the School of Political Sciences, Government and International Affairs at Tel-Aviv University

The Artificial Intelligence (AI) revolution was ignited more than half a century ago. In the last decade, AI has grown from an academic scientific field to start being a practical part of our everyday lives. The most common AI business strategies we see are built around data. We believe that proprietary data is currently the most strategic moat for AI companies, but in the coming years, it will become less of a unique asset, making proprietary data differentiation less sustainable. Therefore, we expect a shift in focus, from data-based AI strategies, to knowledge-based AI strategies.

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