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.
Learn MoreLevi’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.
動画を視る LVMH: Centralization & Personalization — A Hybrid Approach to AI
Discover how LVMH centralized and customized deployment of AI algorithms for its luxury goods houses.
Read moreGo Further
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.
Learn MoreAmplifon: 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.
Learn MoreHeraeus: 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.
Learn More