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    The main challenges of advanced analytics

    Digital transformation has enabled businesses to reduce costs, streamline operations, embrace entirely new business models, and discover untapped revenue channels. Many of these benefits come from implementing data-driven technologies, including machine learning (ML) and artificial intelligence (AI), that transform the increasing amounts of data produced by today's organizations into useful insights that can foster new strategies. Despite the massive potential of these technologies, only 37 percent of businesses that adopt them report successful initiatives. In this infographic, you'll learn about the main challenges that modern organizations face in implementing AI and ML, and how you can overcome them by using Microsoft Azure AI.

    The main challenges of advanced analytics published by RIPEVA LLC

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