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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

In Nick Heudecker’s session on Driving Analytics Success with Data Engineering , we learned about the rise of the data engineer role – a jack-of-all-trades data maverick who resides either in the line of business or IT. DataRobot Data Prep. 3) The emergence of a new enterprise information management platform. Free Trial.

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MLOps and the evolution of data science

IBM Journey to AI blog

Because the machine learning lifecycle has many complex components that reach across multiple teams, it requires close-knit collaboration to ensure that hand-offs occur efficiently, from data preparation and model training to model deployment and monitoring. How to use ML to automate the refining process into a cyclical ML process.