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Solutions
Deloitte and Dataiku Alliance
Shaping the future of AI
More innovation. Better business insights. Improved AI outcomes.
Transform business outcomes

Deloitte’s AI and data analytics migration services
Discover how Deloitte and Dataiku’s migration services help clients assess their current analytics stack and execute an AI-powered data migration.

Accelerate data science analysis for your enterprise
Take a closer look at how the Deloitte and Dataiku's Asset Store helps drive data insights with speed and scale and empowers data scientists to use data science solutions to pursue more innovative analyses.

Enhancing AI Insights and Model Production in Life Sciences
Deloitte with Dataiku can help life sciences and pharmaceutical companies fuel innovation and enterprise-wide collaboration while also managing risk, ensuring compliance, industrializing the AI lifecycle, and ultimately, supporting better patient care and health outcomes.
See us in action
See us in action

Fueling digital transformation within the enterprise
INTERVIEW

Dataiku + Deloitte Alliance
Fact Sheet
ONE-PAGER

AI for Good: Stories from Dataiku and Deloitte
WEBINAR
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About the alliance
Dataiku is the platform for Everyday AI that allows companies to leverage one central solution to design, deploy, govern, and manage AI and analytics applications. Since its founding in 2013, the company has been the leader in democratizing data and empowering organization wide collaboration. Today, more than 450 companies worldwide use Dataiku to integrate and streamline their use of data, analytics, and AI, driving diverse use cases from fraud detection.
Deloitte’s experience in automation, data transformation, integration with multiple complex technologies, optimizing performance, and enabling self-service platforms complement Dataiku’s industry-ready plug-and-play capabilities for data scientists and everyday business users alike, all on a single platform.
Deloitte and Dataiku jointly help enterprises across industries deploy AI solutions at scale, improve efficiencies in ML pipelines, manage risk and governance, and enhance data quality. We address common use cases such as customer churn, recommendation engines, fraud detection, anomaly detection, predictive maintenance, planning and forecasting, deep learning, and data governance.

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