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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 Dean Dorton

    Dean Dorton is a full service business consulting group that enables our customers to compliment and/or extend their internal teams.  We do this through a variety of offerings, from accounting and audit services all the way to technology specialties such as Cybersecurity, Managed IT Services, ERP Software Implementation, Data Analytics and AI, and Collaboration.  All of this is overlaid with Industry expertise and business consulting to ensure that these services drive to your bottom line as well as top level goals.