Critical Capabilities – The Prerequisites to AI Deployment in Business

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.

Critical Capabilities - The Prerequisites to Successful AI Deployment

Over the last four years, interviewing hundreds of AI researchers and AI enterprise leaders, we've consistently heard the same frustrations about AI adoption said time and time again.
"Culture is hard to change."
"Leadership doesn't know what they're trying to accomplish."
"Nobody knows what to do with these data scientists we've hired."
In our one-to-one work with enterprise clients, we've taken the most prevalent, recurring challenges to AI deployment and put them together into a framework of "prerequisites" to AI deployment.

We refer to these as Critical Capabilities, and they break down into (1) Skills, (2) Resources, and (3) Culture:

With few exceptions, there are only two main ways that companies can gain a reliable competitive advantage with artificial intelligence:

Data Dominance: Monopolizing data within a particular business function and/or industry, to make sure that your product is so much better than your competitors that they can't compete anymo...

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