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ENTERPRISE SUCCESS
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"Novartis moved from manual spreadsheet calculations to informed decision-making with Dataiku and harnessed the Dataiku LLM Mesh to revolutionize healthcare market research."
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Johnson & Johnson’s Vision team partnered with Dataiku for a generative AI training and hackathon, which led to working prototypes in less than two days.
Read the full storyNovartis moved from manual spreadsheet calculations to informed decision-making with Dataiku and harnessed the Dataiku LLM Mesh to revolutionize healthcare market research.
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“Dataiku was the key platform to solve the problems related to data sourcing and data preparation.”
Craig Turrell
Head of Plan to Perform (P2P) Data Strategy & Delivery, Standard Chartered Bank
Toyota saved 1,600 hours per month and generated new revenue streams with RAG chatbots built in Dataiku.
Michelin uses Dataiku to scale AI across R&D, manufacturing, and services, unlocking data-backed insights across 50+ global manufacturing sites.
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SLB saved up to $45 million in unplanned employee attrition costs and uses Dataiku across well log interpretation and processing, fault interpretations, drilling time reduction, and more.
Read the full storyThe AI success formula
People
Domain experts self-serve AI. Experts build, deploy faster.
Orchestration
Connect data, AI, applications. Design how your enterprise runs.
Governance
Track performance, cost, risk across all AI systems.
Your AI success starts here
Turn analyticsinto trusted decisions
Move analysts off spreadsheets and legacy desktops without disruption. AI-assisted, governed pipelines preserve institutional knowledge and deliver trusted insights at enterprise scale.
Mitsubishi Electric: Accelerating analytics delivery by 60% & scaling GenAI with Dataiku
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AI success across every industry
Loved by customers and recognized by analysts
“The platform is intuitive, collaborative, and streamlines workflows from data prep to model deployment. Dataiku has truly transformed how we handle data!”
Data scientist
Retail
600 CIOs on the 7 decisions that will define AI accountability in 2026
Discover how board pressure, explainability demands, vendor risk, ROI scrutiny, and more are reshaping AI leadership — and the seven career-making decisions that will determine who turns AI into a defensible advantage at scale.
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The risks and governance requirements of agentic AI
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Augmented analytics: The intelligence layer GenAI assistants need
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Introducing Agent Hub: The workspace for enterprise agents
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