Published: 29 August 2019
Analyst(s): Jim Hare , Carlie Idoine , Peter Krensky
Augmented analytics has emerged as one of the most transformational innovations in data science and machine learning. It helps expert and citizen data scientists more quickly build and deploy models. Data and analytics leaders need to understand the benefits and limitations of augmented DSML.
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