Five Non-Technical AI Services Business Models

Daniel Faggella

Daniel Faggella is Head of Research at Emerj. Called upon by the United Nations, World Bank, INTERPOL, and leading enterprises, Daniel is a globally sought-after expert on the competitive strategy implications of AI for business and government leaders.

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When most professionals think about “AI consulting” they tend to think about technical machine learning services, like: Building our data infrastructure, crafting and testing new algorithms, interesting AI systems into existing IT infrastructure.

However, as AI proliferates industry - and leaders realize just how much of AI adoption relies on non-technical skills - more and more AI services firms are involved in strategy and management consulting (no code involved). As AI fluency grows in the C-suite, there will only be more and more demand for non-technical, strategic AI leadership skills (we've covered this dynamic in a longer article titled The AI Career Gap).

This article highlights five non-technical AI service business models inspired directly by our community of Emerj Plus and Catalyst members.
If you’re an enterprise team member, this list might provide you with new ideas for how you might grow your skills and add more value to your organization. Most of these services t...

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