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November top reader pick: 6 trends shaping the future of data analytics

Published
  • October 30 2017, 6:43am EDT
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The algorithmic economy comes of age
“Organizations are dealing with a tsunami of data,” Mizell stresses. “The speed, size, shape of data generated by newer sources such as sensors, mobile apps, social media, machine logs, and connected devices far outpaces the ability of current systems and humans to comprehend, draw insights, and act on data. Organizations should look at algorithmic approaches such as machine learning, deep learning, and natural language processing (NLP) to automate insight discovery at scale.”


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