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Levi’s: How Machine Learning Helps 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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LVMH: Centralization & Personalization — A Hybrid Approach to AI

Discover how LVMH centralized and customized deployment of AI algorithms for its luxury goods houses.

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Industry Analyst and Customer Recognition for Dataiku

Don't just take our word for it — see what industry analysts around the world say about Dataiku, the leading platform for Everyday AI.

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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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Heraeus: Improving the Sales Lead Pipeline With LLMs

Each of Heraeus’s 20 operating companies has its own lead identification and qualification process. See how Heraeus uses Large Language Models (LLMs) in Dataiku to support these processes, ultimately saving time and increasing sales conversion.

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