This article provides guidance for organizations seeking to leverage AI effectively. It addresses common obstacles encountered during AI implementation, such as data scarcity, solution abundance, and unclear objectives. Drawing on Google DeepMind's expertise, the article offers strategies for identifying suitable AI projects, adapting solutions to imperfect contexts, and prioritizing initiatives with the greatest potential benefits for businesses and society.
While AI has the potential to solve major problems, organizations embarking on such journeys of often encounter obstacles. They include a dearth of high-quality data; too many possible solutions; the lack of a clear, measurable objective; and difficulty in identifying whether a proposed solutions is “good.” In tackling these issues, Google DeepMind, Alphabet’s AI lab that is striving to solve extremely challenging real-world problems, has come up with solutions that can benefit others.
In this article, we offer guidance to help organizations identify the right problems to address with AI, to find solutions when the context does not perfectly align with what AI is best at solving, and, after potential projects have overcome those hurdles, to choose those that can offer the largest benefits for business or for broader society.
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