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As organizations recognize the transformational opportunity presented by generative AI, they must consider how to deploy that technology across the enterprise in the context of their unique industry challenges, priorities, data types, applications, ecosystem partners, and governance requirements. Financial institutions, for example, need to ensure that data and AI governance has the built-in intelligence to fully align with strict compliance and regulatory requirements. Media and entertainment (M&E) companies seek to build AI models to drive deeper product personalization. And manufacturers want to use AI to make their internet of things (IoT) data insights readily accessible to everyone from the data scientist to the shop floor worker. In this next frontier of data intelligence, organizations will maximize value by democratizing AI while differentiating through their people, processes, and technology within their industry context. Based on a global, cross-industry survey of 600 technology leaders as well as in-depth interviews with technology leaders, this report explores the foundations being built and leveraged across industries to democratize data and AI.