The 3 Phases of AI in the Enterprise: Emergence, Adoption, and Dispersion (AI Zeitgeist 1 of 7)

Daniel Faggella

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

The 3 Phases of AI in the Enterprise: Emergence, Adoption, and Dispersion

The following statements are all true, but not in the way you might think:

AI is hard for most companies to adopt.
Machine learning talent is hard to find and hard to hire.
AI gives some companies new ways to compete in the market.

AI adoption is harder in some sectors than others. Strategies for AI talent recruiting and training changes across different sectors. The way companies compete using AI today is drastically different from how they will compete in the future - and as I recently explained at a United Nations event in Shanghai - the same goes for countries.
AI today is in its first “phase," a phase that will change quickly in some industries and more slowly in others, but the shifting of those “phases” will have a dramatic effect on the strategy, adoption, and AI-related talent in companies around the world.
I decided to create this article series (which I’ll be calling “The AI Zeitgeist”) in order to explain to executives the phases of AI’s use in their enterpr...

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