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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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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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Industry Analyst and Customer Recognition for Dataiku

Don't just take our word for it — see what some of the top analyst firms (including Gartner and Forrester) are saying about Dataiku.

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Malakoff Humanis: Improving Customer Relations With the Power of NLP

To address their growing challenges in keeping up with customer demands and providing quality customer service, Malakoff Humanis turned to Dataiku’s Deep Belief program and collaborated with Dataiku’s data scientists on two advanced natural language processing (NLP) projects.

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Amplifon: Using Data Science to Optimize Customer Preferences and Store Performance

Since implementing Dataiku, Amplifon has been able to deploy over 150 data and analytics projects globally. Dataiku enables the hearing health care organization to follow the full lifecycle of their data products and advanced analytics use cases and, notably, has improved project timelines from 12 months down to three months.

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