This article explores the common obstacles organizations encounter when implementing AI and offers solutions and guidance from Google DeepMind. It emphasizes the importance of identifying suitable problems for AI, finding solutions in contexts where AI may not be the ideal fit, and selecting projects with the highest potential impact.
While AI holds the potential to address major challenges, organizations venturing into AI often face obstacles. These include a scarcity of high-quality data; an abundance of potential solutions; a lack of a well-defined, measurable objective; and difficulty in determining whether a proposed solution is effective. To overcome these hurdles, Google DeepMind, Alphabet's AI research lab dedicated to solving complex real-world problems, has developed solutions that can benefit others.
They also provide guidance on selecting the most promising opportunities after potential projects have surmounted these initial challenges. Artificial intelligence has experienced a significant surge, attracting researchers, product teams, and end users with its transformative capabilities. However, despite its recent popularity, AI is most successful in solving problems with very specific characteristics. This article offers insights to help organizations identify suitable problems for AI intervention, discover solutions when the context doesn't perfectly align with AI's strengths, and, after potential projects have cleared these initial hurdles, choose those that offer the greatest benefits for businesses or society as a whole
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