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Dataiku

  • Data Science
  • 3 Case Studies
Your Path to Enterprise AI - Bring data analysts, engineers, and scientists together. Enable self-service analytics and operationalize machine learning.
About

Dataiku is the centralized data platform that moves businesses along their data journey from analytics at scale to enterprise AI. By providing a common ground for data experts and explorers, a repository of best practices, shortcuts to machine learning and AI deployment/management, and a centralized, controlled environment, Dataiku is the catalyst for data-powered companies.

Customers like Unilever, GE, and Comcast use Dataiku to ensure they are moving quickly and growing exponentially along with the amount of data they’re collecting. By removing roadblocks, Dataiku ensures more opportunity for business-impacting models and creative solutions, allowing teams to work faster and smarter.

Dataiku enables organizations across all industries to embed machine learning methodology into the very core of their business to bring real value.

Dataiku was founded in 2013 on the principle that in order to succeed in the world’s rapidly evolving data ecosystem, companies - no matter what their industry or size - must use data science, machine learning, and AI to continuously innovate.

Company Details
  • https://www.dataiku.com/
  • Headquarters 26 Broadway New York, New York
  • Year Founded 2013
  • Company Size 51-200 employees
  • Specialties Machine Learning, Technology & Internet, Data Science, Business Intelligence , Machine learning, Data science, Data lab
Case Studies
Case Study : Dentsu Aegis Network | Faster, More Accurate Customer Segmentation

Improving the Data Department’s Agility and Speed Through Reproducible Workflows

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Case Study : Bgl Bnp Paribas | Improving Fraud Detection

Enabling a Data-Driven Organization via People, Processes, & Technology

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Case Study : Link Mobility Group | Revenue-Generating Data Projects

Accelerating Growth & Team Collaboration with a Common Platform

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