Three Ways to Leverage Industry Expertise for an AI Career – A Guide for Non-Technical Leaders

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.

Three Ways to Leverage Industry Expertise for an AI Career

As artificial intelligence makes its way into more industries and workflows, more and more non-technical team members will be charged with leading AI projects. The next wave of AI catalysts will be familiar with AI at a conceptual level (read: executive AI fluency), but will mostly be expert in bridging AI's capabilities to important business workflows and objectives.

Whether you're aiming to become an AI consultant or an enterprise AI project leader - pivoting your career into AI doesn't involve starting from scratch. It involves leveraging your past experience in the most productive way.

Aspiring AI catalysts should consider three types of experience “assets”:

Understanding Drivers of Success (in industries and workflows)
Understanding Pain Points and Motives (for roles and types of companies)
Personal and Professional Network

If you aim to become an enterprise AI project leader: Use this self-assessment as an opportunity to find areas where you might add value to...

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