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How Machine Learning Helps Levi’s Enhance the E-Commerce Experience

Levi’s used Dataiku and Amazon Web Services (AWS) to create a recommendation system that aligns to a customer journey, such as showing best-selling products in their region to new customers or displaying complementary items to complete an outfit to returning purchasing customers.
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Transforming the Customer Experience in Retail With AI

Dataiku allows retailers to massively scale AI efforts by enabling data democratization to execute on use cases like dynamic pricing, demand forecasting, and more.

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Dataiku für Data Scientists

Bauen Sie Ihr Data-Science- und ML-Wissen aus und verbringen Sie mehr Zeit mit Aufgaben, die Ihr Unternehmen voranbringen.

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Build a Better Recommendation Engine

Recommendation engines can be used across industries to provide value either to end customers or to employees of the organization itself.

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Achieving Everyday AI

Everyday AI is about making the use of data almost pedestrian. AI that is so ingrained and intertwined with the workings of the day-to-day that it’s just part of the business (not only being used or developed by one central team).

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