In this report, explore the causes of friction hampering data science and artificial intelligence (AI) strategies and how to remedy them. The data explores the three main types of data and AI friction (organizational, technological, financial), in what regions and countries friction is most prevalent, the differences between user-level and executive-level outlooks on data and AI, and more. By examining a cross-section of more than 2,000 respondents from around the world, this report gives readers an in-depth analysis of where current data and AI strategies are falling short and how organizations can eliminate friction for good.
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