Many organizations understand the value of AI and have begun adopting it; far fewer have successfully scaled their AI initiatives in terms of both widely spreading individual use cases across an organization and increasing the number of AI use cases deployed. In this report, we develop a framework for evaluating the difficulty of scaling an AI use case and analyze the tools that can help improve the efficiency of developing and deploying AI projects.
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