How To Measure #DataOps Success w/ Chris Bergh of Data Kitchen

Your customers live in an “Amazon World”: they expect data and analytic insights, delivered in a neat package as quickly as possible. But as a leader of data and analytic teams, you know that in order to bring those insights together you have to aggregate multiple people across various teams and business units — all of whom are leveraging different software tools.

Chris Bergh from Data Kitchen discusses #DataOps for Iteration and some of the biggest problems data scientists face these days.

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