Developing AI Products: Winning in the Near-Term and Long-Term (Part 1 of 3)

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.

AI Product Development_ Winning in the Near-Term and Long-Term

Whether you're a startup or an enterprise, developing AI products is challenging.

Not only do you have to wrestle with the challenges of finding a use-case that where AI can actually deliver value into an enterprise workflow, but you also have UI concerns, and - often - much higher demands to monitor algorithmic drift and other technical issues.

This article will be the first in a three-part series with a focus on AI product development. While this article will cover the ideation process for AI products, the second article will cover the AI product development roadmap.

We advise our clients to think about developing their product in the short term in order to work towards long-term goals. Asking the following questions during the product development stage will help generate the best decisions for AI product development.  

Each short-term idea should be seen as a step towards attaining a long-term goal - mirroring our advice for anchoring the strategic priorities in any near...

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