Leonard Wossnig
Contributor
From fraud detection to agricultural crop monitoring, a new wave of tech startups has emerged, all armed with the conviction that their use of AI will address the challenges presented by the modern world.
However, as the AI landscape matures, a growing concern comes to light: The heart of many AI companies, their models, are rapidly becoming commodities. A noticeable lack of substantial differentiation among these models is beginning to raise questions about the sustainability of their competitive advantage.
Instead, while AI models continue to be pivotal components of these companies, a paradigm shift is underway. The …
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