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From preparing data for machine learning to putting models to work and visualizing insights, delivering ROI from analytical projects used to take months. Self-service data preparation from Trifacta and automated machine learning from DataRobot expedites the entire process of developing and deploying actionable machine learning models to days.

In this webinar recording, industry expert Jen Underwood walks walk through best practices and practical implementation tips for each step of an automated machine learning project. Additionally, the session includes live, hands-on demos of Trifacta, DataRobot, and Tableau.

""Trifacta brought an entirely new level of productivity to the way our analyst and IT teams explore diverse data and define analytic requirements. Our users can intuitively and collaboratively prepare the growing variety of data that makes up PepsiCo’s analytic initiatives.""

""We were actually able to shave the amount of time it took to do the analysis by [a factor of] six. Rather than having to do a tremendous amount of analysis, we’re actually readily able to start getting incremental data products out quickly.""