Finding the Enterprise Fit for AI – Emerj AI Leader Insight

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.

Finding the Enterprise Fit for AI

In the classic business book Good to Great, author Jim Collins talks about the different approaches for technology adoption between high-performing and average companies. Collins' research indicated that high performers tend to adopt technology as an accelerant to an existing, working strategy - while underperformers tended to adopt technology in an attempt to jumpstart a change in direction or strategy that they haven't yet undertaken.

Given the low level of executive AI fluency is in most enterprises today, leadership often treats AI either as a band-aid to fix near-term or novel problems, or as a kind of "infusion" of the new technology for its own sake - with projects selected arbitrarily.

What's a better way to think about AI project selection?

We've decided to start a new series called Emerj AI Leader Insights, where we'll speak with an AI leader at a renowned firm - and distill their best AI adoption or AI strategy advice into a useful graphic or resource that other lea...

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